{"episode": 0, "episode_seed": 1235361506, "split": "val", "timestamp": "2025-09-16T00:38:32.520521", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x145549a674c0>", "max_steps": 10, "abs_size": 336, "master_seed": 10000042, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1235361506, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-6.4219643407033296, -6.46751687675371, 59.27279455245847])</answer>", "action": "('move', [-6.4219643407033296, -6.46751687675371, 59.27279455245847])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-6.4219643407033296, -6.46751687675371, 59.27279455245847])</answer>", "action": "('move', [-6.4219643407033296, -6.46751687675371, 59.27279455245847])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-6.4219643407033296, -6.46751687675371, 59.27279455245847])</answer>", "action": "('move', [-6.4219643407033296, -6.46751687675371, 59.27279455245847])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "c7988fd06f2e39dae49fa9367327b9a4fc4f91dd6d3608a14b14c217c9bd3108"}
{"episode": 1, "episode_seed": 4079980500, "split": "val", "timestamp": "2025-09-16T00:38:33.134188", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x145549a674c0>", "max_steps": 10, "abs_size": 336, "master_seed": 10000042, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 4079980500, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-6.460588685876168, 3.111492965091109, 7.69690721225507])</answer>", "action": "('move', [-6.460588685876168, 3.111492965091109, 7.69690721225507])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-6.460588685876168, 3.111492965091109, 7.69690721225507])</answer>", "action": "('move', [-6.460588685876168, 3.111492965091109, 7.69690721225507])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-6.460588685876168, 3.111492965091109, 7.69690721225507])</answer>", "action": "('move', [-6.460588685876168, 3.111492965091109, 7.69690721225507])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "99480a140df6c301ce3ff78b4a4c2f52d936b9f2ff09befe520292483ad0ab45"}
{"episode": 2, "episode_seed": 1995527710, "split": "val", "timestamp": "2025-09-16T00:38:33.761661", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x145549a674c0>", "max_steps": 10, "abs_size": 336, "master_seed": 10000042, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1995527710, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [0.8087301801738404, 2.6957604246250457, 9.717564682632334])</answer>", "action": "('move', [0.8087301801738404, 2.6957604246250457, 9.717564682632334])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAALP0lEQVR4nO3dW4hV1QPH8d+5zBSKt9LUUAqyogyhvGSUIFhBKl5yMKObD2lZRAaBVA8+CEYp+GI+aYmIYdZkOUUZEZiVaEbFkAzYxUptsqYoR8Yz5+z9f1jbSfTvzJwZ9Zw9v+/n0ZmH5WG+s9Zee+09mTiOBcBDttIDAHDxEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wEi+0gMA0q9UUqmkTEb5vDKZSo+mM5k4jis9BgAXCUt6oNcaGjRrlpYs0e+/S1IVT6IED/RUCPvkSW3YoB079PPP6t+/0mPqAsEDvfPnn9q1S7mc5s5V//4qFqv5Mp7ggV6IY+3Zo5YWDR2qceMqPZqusUsP9FSYybdvVyaj8eM1dqziWLlcpYfVGWZ4oEfCBXxrq3buVBxrwoTqX8+L4IEeCsF//rmamzVggKZMURwrW+1BcR8e6IVCQV9+qcZGLViggQMVx1U+wxM80FPhdF3Vz+qnI3ig16p+Yu+Qpl9OQLUolSTpvfe0bZuOH09L7SJ4oGxhc66tTatXa+FCrVqV/GMaEDxQpihSJqOvvtKBAzpxQtdfX+kBlYHggTKFyXzPHjU3a/BgTZ8uKS2reoIHyhHHyufV1qa9e5XJ6O67NWBApcdUBoIHyhFFknTwoHbvVhxr5swqP0t7BoIHyhGW7t99p8OHNWiQJk2STv0WSAOCB7ot7M8XCmpokKQpUzRypJSaC3gRPFC248fV0qJ+/XTnnak4Tns6TtoB5Wtv17vvavx4XX01wQN9Vxwnhacn8tMRPNAjpZKy2dRlzzU80D1havz6az3/vPbtS13qAcED3ROC37pVL76oRYt07JiUphtyAcED3RZF+vBDSbrpJg0frmIxXQ/Di+CBbokiZbP69lt9/73yed11l5Sm2+8dCB7ohvAA/Pvv699/dfnlmjFDUuqmdxE80LWOt1N++mnygtqhQ5M5P23SN2LgYosi5XI6cEBNTZI0a1ZaXndxNoIHuhK24nfs0I8/qrZW06en9+ANf3kG6EpYug8frptv1vDhGjVKSuWOnThpB5Th0CEVChozJqW1i+CB7krVQzLnwjU80JU4Tv7mhNJ3tO4MBA+cW1j//vGHFi/WSy+puVnZbHq36MWmHdCZsIz/4Qe9+qok3XCDZs1K7tKlE8ED5xb25z/+WNmsJkzQhAlSWvfnA5b0QKdKJTU0KIo0aZJGjEgeg0+tFA8duLDCtXpTk774QpmMJk5UNpv2TTuW9ECn9u/XpZfqyit1221SKh+YOR3BA+cQrtXnzFFtrU6c0LXXSkrvdl3AwRvACDM80Klw6kZSvi/EwgwPGEn3DgSAshA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgYSeOKz2CyiF4GAmpZzKVHkflEDxcxLEyGcWxGhslKYoqPaBKIHhY6FjGr1ypiRO1ZYuyWUWR3fI+X+kBABdcHCdhL1+uFSuUy+nJJxXHeuCBZJ73WeQzw6OPi6JkJb9smVasUG2tJP39t3755b+v+mCGR18WRcpm1d6upUu1bp1qalQoSNLKlXr2WUWRcrlKD/HiysRuFzGwEWpva9OSJdq4UbmcSiXl81q1SkuXVnpwFcIMj76pVFIup7/+0uOP6403ktr799eaNVq0SDq1ae+G4NEHhdqbm/Xoo2poUD6vUkmDBmntWj34YHLdbli7CB59T6j96FE98og++ki1tSoUNHiw1q/XvHkqFpU3/qk3/q+jLwr7cL/+qvvv1+7duuQSnTypyy7T5s265x4Vi3a7dGdg0w59R5jbf/pJdXXavz+Z24cO1bZtmjrVeiXfgeDRR4TaDx7U3LlqbFRNjdrbNXKk6us1ebLpFt3ZOHiDviCs1RsbNXOmGhuVz6u9XWPGqKFBkyfbna7pBMEj9cLd9X37NHu2mppUU6NiUTfeqO3bdcstKpWU5cf8FJb0SLewVv/sM82fryNHkpX8uHGqr9c117jvyZ+NDwMpFs7SffKJ6urU0pLUPn683n5bo0dT+//BWgepFMfJWv2DDzRnzn+13367Gho0enSyzscZCB7pE2rP5VRfr/nz9c8/Se3Tpqm+XiNGKI7d77efC8EjZeJYUaR8Xlu2aOFCtbYme/IzZ+r113XFFezJd4bgkSZhiy6X04YNWrxYra3KZFQsat48bdqkYcPYk+8Cnw1So+PwzNq1euIJtbZKUqmkhx7Spk0aMsTx+fZyETzSIbyLKo718st66ikVCsrlFEV67DFt3Kh+/ZIde3SOTwgpEGovlbR8uZYtUzarmhpFkZ55RuvWKZtVHFN7t/AhodqFo2FRpOeeS15BGd5a9cILWr06+QZ26bqJO5WoaiHmUklPP61165TPK4pUKmnlSi1blnyV2ruP4FG9Qs/FohYv1muvKZ9XsShJa9Zo6dJk5mclXxaCR5XqeAXlwoXaulW5nIpF1dTolVeSl9KJ2svHB4ZqFG6nt7TovvuS2qNIAwZowwbrV1D2HjM8qk64nd7crIcf1s6dSe0DB2r9etXV8eKaXiF4VJdwg+3oUS1YoF27kkPygwdr82bNmJEcoUePETyqSFioHz6se+/V3r1J7UOGaNs2TZvG467nAZ8fqkWo/dAhzZ6tb75JXkE5bJjq63XHHTzuen7wxhtUhbAn/9tvmjpVTU1J7aNG6c03deutHJs9b/gUUS3iWG1tuuoqSSoUNGaM3nmH2s8zZnhUi7Ckb25WXZ2OHdNbb2nsWHbpzjOCRxUJzR85ouPHdd111H7+ETyqS8cCntovBIJH1QkPw3LdfiEQPGCE36KAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAkf8BSsDvhUfezBEAAAAASUVORK5CYII=", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [0.8087301801738404, 2.6957604246250457, 9.717564682632334])</answer>", "action": "('move', [0.8087301801738404, 2.6957604246250457, 9.717564682632334])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [0.8087301801738404, 2.6957604246250457, 9.717564682632334])</answer>", "action": "('move', [0.8087301801738404, 2.6957604246250457, 9.717564682632334])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "339ca2e16402fde2ff0ebaf1cf63bc1510a695e0bf8218a6224822873c9ba54d"}
{"episode": 3, "episode_seed": 1732700945, "split": "val", "timestamp": "2025-09-16T00:38:34.374273", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x145549a674c0>", "max_steps": 10, "abs_size": 336, "master_seed": 10000042, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1732700945, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-17.006891322629237, 4.454818904730189, 18.165011363384917])</answer>", "action": "('move', [-17.006891322629237, 4.454818904730189, 18.165011363384917])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKsElEQVR4nO3dXWgc5QLG8Wc3u5tEE9vSj60UNFIrUmy9UC/0Qore1A+o1IRCWqLEBNEWC4pIURBvLGguakGwFJobqdJgjGgLCooIDYoUKyjYD2hMKBqlMUlp87GzO+dipuk5B8/xqGczs/v8f3cthQ4Z/nnn433fyYRhKAAeskkfAIDFQ/CAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASNJB18uKwwTPgbARiakN8BGoiN8uazjx3XxYpLHADhJNPj5eT3xhL7/XpIqlSSPBPCQaPCZjMbGdO6cJO7kgUWQaPDZrMpljY5KBA8shqSDn5vTyIhE8MBiSDp4SefPSwQPLIZEg48i/+03VSrK52keqLakJ95kMpqY0C+/KJMheKDakh7hw1BTU/r55/iPAKopl/D//8wzWrdOxaJ05ZYeQNUwtRYwkvSgWiopCLiYBxYHIzxgJOkR/sABFYvq7lYQSDy3A6or6eCjd3KnT2tiQiJ4oLqSDn7dOmUyunAhDh5ANSUXfDSYt7UpDDU+zggPLIKkR/jly1UoaHJSk5MSwQPVlXTwzc264QaFoX79NeEjAQykIPi2NuVy8ezahoaEjweoaykIftUqBYG+/ValEktogKpKbi59JiNJhYI2bdL0tDZtilOP/h5AFaRgpt3MjIJAra0JHwZgIAXBA1gsSd/DLwgCdqoGqi3pDTAkTU3p0CE9/bROnEjyYAADiW6AEYbKZDQ5qdde06lTuu023XVXkscD1LukP0QhadUqbdyoXC7evhZA1SR9D1+pqLlZK1YoCHTunMrlhI8HqGtJj/BR4atXS9LISLwqHkB1JD3CR6JNLM+cIXigqlITfD6vyUlWxQNVlXTw0dbUxaJWrJCks2clFskC1ZJ08NGD+mJRS5aopUWXLiV8PEBdS8fU2iDQ1JSyWbW0KJ9P+miAupWO4BeUyyyJB6onZcEDqKakvy0nqVJRNqvRUX3xhS5dUk+PGhriWbcA/q9SMMIHgXI5vfuuHntMhYJOn9b11xM8UA1JP6XXlQf1K1cql1O5rJERiTdzQFWkJvi2Ni1dqpkZgq8z5TIrJFIkBffw0caVa9bo2muvrpkj+LpQqcRvXaIHNUhcCk5CtISmqUnXXKMg0MmTEsHXg3JZ2axOnNDwsLJZTmkqpGCE15Wr+q1btWGDHnhAEsNBrYtmVHz5pTo7NTOjjz7SHXcwzicvBU/pF8zNSVJjY9LHgb8revHy2Wfq6opv0dradPSo1q+n+YSl6Wff2EjttS4MVS4rl9OHH+rRR3X+vJqaJGnpUhUKSR8c0hV8GHKfV9Oi2hsa9M472rZNk5PK5zU7q3vv1bFjuvlmhSHDe8LS9OPPZJhsU7uiX9e5nA4cUFeXZmaUy6lU0kMPaXCQuVRpkabgUbOimLNZ9fVp1y6FoRoaFATatk2HD2v5clUq1J4KBI+/ayHml1/WCy9IV67te3vV36/rruNBXYqk47UcalYUcxDo+ee1b188sEt67jn19V39B0gJTgX+umhqzdSUenq0b5+y2fgR/SuvxLXzlC5tGOHxF0UP5MfH9dRTev995XIKAjU3a+9e7d4dD+zct6cNweOviGofHVV3tz79VIWC5ufV2qr9+/X44/HEG6QQpwV/WlT7mTPavl1ff62mJs3OatkyHTqkRx5RqUTt6ZWmqbWoBVHt332njg798IMaGzU3p2JRhw/rvvviu3qu5FOL4PEnRNfqX32ljg6NjcVX8m1tGhjQnXcytaYG8AgV/6uFJTFbtmhsTPm85ue1YYOOHqX2mkHw+GNhqEpFuZyGhtTRofHxeNrs3Xfrgw+0fr3KZWqvDQSPP7Awbfbtt9XVpYmJ+A3c/fdrcFA33aQg4GMCNYPg8d8sXKi/+aa6u3XxYlz7li0aGtLq1fFMG9QKgsd/FE2SL5f16qvatUulUjxzdscODQyopeXqlnWoFQSP3xfVPjurPXv04ovKZuNtxHfuVH+/8nmmzdYkzhh+RzQx9vJl7d6t119XLqdMRkGgl17S/v3xjpQ8patF3H7h30W1T0+rt1dHjiifjxfA9fXp2WfjkZ/aaxTB419EtV+4oM5OffKJ8vn41v2tt9TTE9fOlXztInhcFU2b/ekntbdreDiuvaVF/f1qb5fYhaz28bsaseh1+tmzevBBDQ/HU2uKRQ0MqL093l6U2msdwePq3tLffKOHH9bJk/F9+4036r33tHkzH4erH1zSQ5IaGnT8uLZv148/xlfyt9yiI0d0++0sbq8rnElr0du1TEYff6zOTk1MxLVv3KjBQa1dS+31hkt6Xwsf/hgY0NatmphQoaBSSffco2PHtHZtvGAG9YTgTS0siTl4UDt26PLleHH75s0aGtKaNew2W584pY6isX16Wnv3audOBUG8uD36bsTKldRetzirjqJp8GGooSGVSspmVSrpySd18KCWLaP2esaJdZTNqlLRkiXq79ettyoItGeP3nhDra3UXufY085X1Pbnn+vUKfX2xr8FqL2+Eby1f170xgI4BwTvjjmzVnjN6o7UrXDHBhgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASP/AC/2xxOiWhLYAAAAAElFTkSuQmCC", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKzElEQVR4nO3dT4hVZQPH8d85994ZHY0GnBz/oM7GNlpKQQSSSlBQLRILCiOibFGSCUm2aJEERVZEFkJR1KbANlZQ2aS0EEUStQzaWOBkiZY2zh/FP3P+tDhnfHt5SUdn7jzH9/f97HTj4Xq+93nOOc9zbpTnuQB4iEMfAIDxQ/CAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASOhg09T5XngYwBsRDm9ATaCjvBpql27NDgY8hgAJ0GDP39eK1fqp58kKctCHgngIWjwUaTfftOhQ5K4kgfGQdDg41hpqsOHJYIHxkPo4M+dU0+PRPDAeAgdvKQjRySCB8ZD0OCLyE+eVJap0aB5oNlCL7yJIvX26s8/FUUEDzRb6BE+z9Xfr2PHyj8CaKZ64H//6ac1d646O6XhS3oATcPSWsBI6EF1aEhJwmQeGB+M8ICR0CP8u++qs1OPPaYkkbhvBzRX6OCLZ3IHD6q3VyJ4oLlCBz93rqJIf/1VBg+gmcIFXwzmXV3Kc/3xByM8MA5Cj/BTpqilRX196uuTCB5ortDBT5yo2bOV5zp+PPCRAAYqEHxXl+r1cnVtrRb4eID/axUIfupUJYkOHNDQEFtogKYKt5Y+iiSppUVLl2pgQEuXlqkXfw+gCSqw0u7MGSWJrrkm8GEABioQPEaBWREuS+hr+AuShDdVX4EoUhSx/wgjFfoFGJL6+/XBB1q1Svv2hTyYq1Ce6+xZDQ6qXud2J0akAsH39enVV/Xee9q9O+TBXG2SRFGkb7/VihX68EOlKc3j0kL/EIWkqVN1442q18vX12IE8lxxrIEBvfOOvvhCK1dq2TINDNA8LiH0NXyWaeJEdXQoSXTokNI08PFcJYrgu7u1dasmTCjn9hMnKsu4gYeLCT3CF4VPmyZJPT3lrnhcVJ4rinTypDZsUJJoaEitrdq0SY0GteMSQo/wheIllj//TPAjFEX6+GPt26dGQ2mq1at1/fXl3wMXUZngGw319bErfoSOH9dLLymKlGWaMUNPPSWx1RAjEDr44tXUnZ3q6JCkX36ROHMvprhKf/llHTumWk1pqmee0axZXL1jREIHX5yknZ269lpNnqzTpwMfT7VlmeJYP/6ojz4qb4DcdJMeekhxzJckRiT0D1EUI/zs2dq5U3GsyZMlrkT/VfGw/ZVXdOKEajVlmZ58UtOmaWhIjUbog8PVoGJr6dOULfH/pvhsurv14IPq71eea8kSff21WlvLp3TAJVXsNKH2f1F8LZ86pbffVl+f4liNhtat04QJ5TwfGInQU3oNX5gePqwdO3T6tB5/XLVa+awZw/JctZq2btW2barXlSS65x7dfbeyjC9JXIYKTOmTRPW6Nm/WI4+opUUHD2r6dIL/pwsrbe68U3v3Ko5Vq2n/fs2bJ3HHA5ejAnPB4oS97jrV60pT9fRIPJn7L8Un9Mkn2rtXjYayTE88ofnzy72xwMhVJviuLrW368wZgv9fWaYTJ/Tii+VKm44OPfusxIeEy1eN4PNcM2dq0qT/7JnjXB5W3IHfsEFHj5YrbZ57TrNm8QnhSlQj+DTVhAlqa1OS6IcfJIIvZZnyXAcP6v33FcdKEs2fr4cflsRdDlyJCtyl1/Csfvly3XCD7rpLEg+aJOV5eXN+/Xr195dX7GvWqLOT9Qq4QhW4S3/BuXOS1Noa+jiqonh8sX27li/XqVPKc912m7ZtKxfV8ZWIK1CNEb5A6v9QrE44f15vvqnBQdVqajS0dq1aW8svAuAKVGmYKKawkDR8r+7zz9XdrThWmur223Xvvay0wahUaUqPYcXwPjCgO+7Qnj2q1VSr6bvvtGCBxEobjEKVRngMu7DSZs+ecjnSo49q4UJW2mC0GOErp/gP6e3VggU6elSS2tu1f79mzSJ4jBYjfBVFkd54Q0eOlJve163TnDmKY2rHaDHCV0vxc1s9PVq4UKdPK8s0f76++UbTprHpHWOAM6hy4lgvvKDBQUWRGg2tWaPp09n0jrHBSVQhSaI41o4d+vTTctn8rbfq/vvLN1sBo0fwVVHM2IeG9Prr5WS+rU2rV6u9nck8xgznUVWkqeJYn32mL78sX/mzZInuu491dRhLnEqVUGySOXlSGzeWl+ttbVq/noEdY4wTqiqiSFu2aNcu1evKMq1YoVtuYTKPMcZjufCKne0nTujmm/X775LU3q59+zRnjsRCWowpho+q2LRJhw+XK23WrlVXl0TtGGuM8IEVw3tPjxYs0KlTyjLNm6fubs2YwXweY48TKrBiad369RoYUK2mel1r1mjmTFbaoCk4p0JKEtVq2rlTW7aUD+EXLdLy5fwULJqF4IMpJvNnz+q118qFtJMmadUqTZlSPpMHxhynVTDFiyi/+krbt5eb3hcv1rJlrLRBExF8GMWbqo4e1caNOnNGea62Nj3/vFpa2PSOJiL4MIr5/Pffa/du5bnSVA88oEWLeGUdmovHcmEUwQ8NafNmvfWWfv1Ve/aoq4ufl0BzEXxIRd59fTpwQIsXkzqajuAD4xYdxhPBh5dlyjKyx3ggeMAId+kBIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxg5G/IpcgfSM3a3wAAAABJRU5ErkJggg==", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-17.006891322629237, 4.454818904730189, 18.165011363384917])</answer>", "action": "('move', [-17.006891322629237, 4.454818904730189, 18.165011363384917])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-17.006891322629237, 4.454818904730189, 18.165011363384917])</answer>", "action": "('move', [-17.006891322629237, 4.454818904730189, 18.165011363384917])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "a714de197732dbe36f886c2ba54d23043782b8ab4d302dc851700ee2ecc8830f"}
{"episode": 4, "episode_seed": 3156827999, "split": "val", "timestamp": "2025-09-16T00:38:35.398571", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x145549a674c0>", "max_steps": 10, "abs_size": 336, "master_seed": 10000042, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3156827999, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-155.1057394507632, 123.63809651066545, -58.15861104451013])</answer>", "action": "('move', [-155.1057394507632, 123.63809651066545, -58.15861104451013])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-155.1057394507632, 123.63809651066545, -58.15861104451013])</answer>", "action": "('move', [-155.1057394507632, 123.63809651066545, -58.15861104451013])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-155.1057394507632, 123.63809651066545, -58.15861104451013])</answer>", "action": "('move', [-155.1057394507632, 123.63809651066545, -58.15861104451013])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "6561328ee0ed51c354f34a7a6838065506b43e552357b5b33598ddb1b1796946"}
{"episode": 5, "episode_seed": 3913464663, "split": "val", "timestamp": "2025-09-16T00:38:36.011017", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x145549a674c0>", "max_steps": 10, "abs_size": 336, "master_seed": 10000042, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3913464663, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [1.5218245159134678, -2.088511174711322, 56.471846122150055])</answer>", "action": "('move', [1.5218245159134678, -2.088511174711322, 56.471846122150055])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [1.5218245159134678, -2.088511174711322, 56.471846122150055])</answer>", "action": "('move', [1.5218245159134678, -2.088511174711322, 56.471846122150055])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [1.5218245159134678, -2.088511174711322, 56.471846122150055])</answer>", "action": "('move', [1.5218245159134678, -2.088511174711322, 56.471846122150055])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAIsklEQVR4nO3dXahlZR3H8f9ae58zqYxmVzOBLzcW0igEeSEDWQkqOGLkQCWBBTU5jkrmS2KDikEXTs4EyTQ3ppLZaAhjvtE0kJUvEJpmJnVhCl443WQkDM45Z63VxT6OFiHNhZ3Z+/f5XJyrffHA3t/9POtZz16nGYahgAztSg8A+P8RPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQR/HQYhur7lR4E00/w06Fpqm2r61Z6HEw5wU+Brqu+r/37azSqxcWVHg3TTPBHumGo0ai2b6+LPldPPVVzc9V1NQwrPSymUzP47BzBuq5Go3rssdq4sQ4cqDVr+u9+p77y1baq+r5aX9ccJh+ZI9cwVNNU39e2bXXgQM3P1/797dc3N1dcMRw4sHxJ7+uawyL4I1fTLO/V3XlnnXtOv7BQTVNLXXP77c155/R/+fMwGlWV3XsOg+CPaE1TVXXSSfXoo+211/SrVtUw1Nxc/fbJ9tOf6vfssXvP4RH8FBiGatq6dVt7513DiSf0i4vD/Hy9/rfRxo3DjTfWW2/VaKR5/ic27abDMFTX1Xhcf3xhuHxL/5sn2rZtqqrv6/zza+fOOvHE5Wt+eA9m+OnQNDUa1dJSnXZ6s+fB9vItTd9X39d4XI88Up85q9+3b7l2l/S8B8FPjaap8bi6ro7/UPOD2+uOO2r16lpaqvn5evnVdsOG2rZtWFyotq2lpZUeK0cqS/rpc2jp/vTTddnmev4PNTdfiwtVNXzp4v7Wbe3aDzeLizUeW+Hzn8zw02eScdfVmWfWY48Nl1wyLC4MbVtzc8099zafvXB44omam7O2578Q/LSa7MyvWdvccUezY3uN225xsebm2t890150Uf1wZz+5S28Bx7tZ0k+3vl8+n7Pvl/2ll9bLf23n5mpxsdp22LSp2b69jjrqndeA4KfeMNQwVNvWa6/Vli3DQw9V2zaTrbv162vXrlq3bnl57+w9PgJTb3LYru/rhBNqz55m67eHVav6ye79k0/W2WfXfbuHtnUgjyoz/Cw5tHt///11/fX1yis1Wd5XdTdc39ywtT3mmFpaqvF4hcfJChL8rJn8ovaFF+raa4e9e5vJ1l3XDRs2NN+7rT76keUXkMmSftZMDuSdfnrt3t1848q+6/quq/lVzcMP1/nn9Q//3O59NDP8bJpM48NQd981XH118/c3atWqOniwjvpAf9NNde117eSS3lSfRvAz69Al/bPP1qav9b9/rhmPm8mp2y98ftixo1mztrqu2tYduyCCn3GT7N94o668vLvn3lG9fWJn3bratavWr9d8FtfwM27ykKzjj68f/2S047bh2NVD1w3z8/Xii3XBBbVzZ41Gy68hgRk+wqGDN48/Xlu21Esv1XhcS0vVNPWVLw87dtSxxzV+Tp9A8Ckm/7tmNKrXX6/Nm+vBB6veXt5/4uNLP7p7fNppVR6GO+u8tykmj9Do+1q7tvbsqZtvrqOPrq6r+fl65rnxWZ/sd++uKgfyZpwZPs6hpfuDe/qrrqpXXm3m55uFhaoarrl62Lq1Pe6DDuTNLMGHmtyE/9OLwzevGvbua0fjGobqu/7cc4Yd329PPdXV/GyypA81OZD3sXXNfT9rv3VddUt939XcfPuLve2FFzYPPLDS4+P9YYaPduiw3U/v7S/bPPzjn6NV83VwoU4+uZ5/vo47zpNwZ40ZPtpkG28Y6osXt7/6dXvGGcPBhWrb2ratVq9W+wwyw/POIzTefLM2bapTTqlbblnpMfH+EDzLJvP5u/8yeyzpWTbpvN5+Th4zSfC8Y9K5k3YzzHvLvzG3zzbBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQ5B/AfTnBx3uKDyhAAAAAElFTkSuQmCC", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "3e9f0542178862b9af155851f81399c55405b8caf07170a10ee061b0e157adb9"}
{"episode": 6, "episode_seed": 1707066717, "split": "val", "timestamp": "2025-09-16T00:38:36.624165", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x145549a674c0>", "max_steps": 10, "abs_size": 336, "master_seed": 10000042, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1707066717, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [0.7522160675774843, 1.767446664550862, 46.53712389507374])</answer>", "action": "('move', [0.7522160675774843, 1.767446664550862, 46.53712389507374])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [0.7522160675774843, 1.767446664550862, 46.53712389507374])</answer>", "action": "('move', [0.7522160675774843, 1.767446664550862, 46.53712389507374])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [0.7522160675774843, 1.767446664550862, 46.53712389507374])</answer>", "action": "('move', [0.7522160675774843, 1.767446664550862, 46.53712389507374])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAHP0lEQVR4nO3dzU4jVxrH4bdskx5odeOIjxiNssg15BKyyA3kbrPKJeQaJsNHk24QJBFN46pZlMn0ZjQKtuID/+dZGa+ORP30Vp0q290wDAVkmGx7AcDfR/AQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQZLbtBfA/DUP1fQ1DTafVddteDS+CCd+on36q77+vb7+tb76pn3+uqur7ba+J58+Eb84wVNfV9XX9+OPqndvb1fuwJhO+UV9/XV1Xr15V1XB9ve3V8FIIvlGLRQ3DMPRV1b17V1U18b9ibQ6iRu3tDm/+8fDQV1Wdn1eVfTs2QPCNmk5rcVL9sqrq/NwFPJsh+OaMk3y20y3+udpSvbio+/sq+3asTfCNms1qcbI6iT8/r0+ftrscXgjBN2o2q6++Wr2+OFve3xvubIDgG9V1dXJSVTWZ1Plp/2DCswmCb9F4rb5YVFXNZnXzx+zjvT16NkDwLfo8+K6rqu7ycqsL4qUQfLsODqoe4z872+5aeCEE367d3drZqYeHqsfgPXvDmgTfrr3d4eBgGD8kd3q67dXwIgi+Xbt73dHRaqY7pWcjBN+i8dR9d7eOj1fvnJ25D88GCL5de3t1dLR6ffavh62uhRdC8O169aoOD1evT0/t17EBgm9R11XfV9etJvxkUte/Te/utr0snj/BN2rcnB8nfNfVw0M3fireB+ZYh+AbNYY9f9tXLYeqvl99DQasQ/CNGjfq9/eHyaT6ZfX96s6cCc86BN+0/fl0f39aJjwbIvhGrSb8vObzqs+CN+FZh+AbNQb/9u0q+PKwHZsg+Kbt738W/C/LMuFZj+AbNU74N29qvr965/zCszesS/DtWi5rOq35l6s/f/tj0vd+joK1OHwa1XW1XFZVzff7qqGqPn6sq6uaTPyqJE8n+NYdfLkK/u6uLi62vRqeOcG3a7yMPzzqqrqq+vixxh+Zs2/Hkwm+XWPwB8fTvb3H4C+rBM8aBN+6w4Pa26uqururywutsxbBt2vckD88rNevq6qWy+Hyoq+yacfTCb51B48Tvqp796v/F2txALWr62oY/jvhq+rX9569YS2Cb9d4K35n588JXzc3NQw1m9m344kE37Txcn0+X/V9e1u//+5hO57OsdO08c7cyfFyfPbm9rY+fKiyb8dTCb5pY/DHi8n47M3tbV1dbXlJPGuCb9oY/OJkMp1WfRa8a3ieRvDPwGJROztVVbc3w4f3WufpBN+01YR/DP7+U3/1vi8TnqeabXsB/H/Hx/XFFzWZVNdNrm+GqnELD/4ywTdtvAN3clLL5bgz3/37tKuqzpkZTyL41g1DvX5dP/xQXVcnJ/Xdd1VV4x4e/FXd4HLwOfDlVmyE4CGIqQFBBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9B/gOkBxS/r/Hx3gAAAABJRU5ErkJggg==", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "dbe58109032202885a2f64ff02fc84ca22f033be19642bd3aa1989321bdf166e"}
{"episode": 7, "episode_seed": 1660005348, "split": "val", "timestamp": "2025-09-16T00:38:37.684472", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x145549a674c0>", "max_steps": 10, "abs_size": 336, "master_seed": 10000042, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1660005348, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [8.90977869281645, -1.010887875711285, -52.864432522853726])</answer>", "action": "('move', [8.90977869281645, -1.010887875711285, -52.864432522853726])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [8.90977869281645, -1.010887875711285, -52.864432522853726])</answer>", "action": "('move', [8.90977869281645, -1.010887875711285, -52.864432522853726])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [8.90977869281645, -1.010887875711285, -52.864432522853726])</answer>", "action": "('move', [8.90977869281645, -1.010887875711285, -52.864432522853726])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "49d8378d87c8d0f3ed8eee3ee674564ae73b34b2808ab8311a0a6faf36c1ea71"}
{"episode": 8, "episode_seed": 3797601602, "split": "val", "timestamp": "2025-09-16T00:38:38.291162", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x145549a674c0>", "max_steps": 10, "abs_size": 336, "master_seed": 10000042, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3797601602, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-0.7916276877398771, 0.6057979072304649, -18.92194504142184])</answer>", "action": "('move', [-0.7916276877398771, 0.6057979072304649, -18.92194504142184])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-0.7916276877398771, 0.6057979072304649, -18.92194504142184])</answer>", "action": "('move', [-0.7916276877398771, 0.6057979072304649, -18.92194504142184])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-0.7916276877398771, 0.6057979072304649, -18.92194504142184])</answer>", "action": "('move', [-0.7916276877398771, 0.6057979072304649, -18.92194504142184])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKCklEQVR4nO3dvY8cdx3H8c/s7vkJW0E8BVNYilOgyITwkAgXsQ0IiJCJYxkKKprQIdHQ0VAgGv4AmnQRaQIRKImISTANNgYbIyEXFmAJIoUUiSNL9pmAb3eHYiZ+ulsQ9uHb5ft6Vac5W/o17/v9ZuY3M03btgFqGGz0AIC7R/BQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FDLa6AHAvGrbTCZJMhymaTZ6NOvDDA+rdJ2fOpUvfzlHjuT115OkbTd2UOtC8LBK1/brr+fFF/PCC3n77Y0e0LqxpIcZptMsLaVpsnnzRg9l3ZjhYYbxuF/bLy1t9FDWjeBhlW5Jf/VqxuN+nk/+P67bWdLDDE2TLVuydWs2bbp2rG0XO3zBwyqjUZLs25enn06SrVvbNtNpJpOFX9037f/FzQa4OyaTDIcbPYg74BweZptOM5kmWV7O0aP55jfzxS9meXmjR3UHLOlhhpWVrKyMh5tGw8EvfpGvfS2XLyfJsWM5dChZzKt4ZnhY5erVJPnBD/KBDzQPPJBk165s25bhMMNhnn02TbOo++4EDzMsL+fKlcE/327b7PlI9u3LZJLJJMeP58qVhZzeI3iYaTpN0rxr23iSzZuyd29/+I03cvRomqbflbNYBA8zjMdJsrQ0GCbJgQPZuTNJ/vGPvPRS0v9BWDCChxm64DdtGjaZTPKxj+WBB/rfnDmTCxcyGi3embzgYYZ3gk8ybTMaZf/+/tT9/PmcOLGQq3rBwwzdLvpt25J0q/rDh3PPPUmyvJzjxzd0bLdL8DDDxYtZWcmVK0mGTabTPPRQ7r+//+XJk3nzzYxGC3Ymb+MNrNLtnn3ssTRN9uzpjrVt2jYHD+bMmQwG+f3vc/ZsPvvZTKcZLM68aS89zHbDw3Hdj2fP5qMfzWiU8Tjf+16+/e3+ut2i3JZfnD9NcPfd0HH34549efDBjMdpmvzsZ7l4cWFS7wgeZphOs7Jyy523wSBf+UqSDIc5cSJ//WuyUK+3FDys0l2Ie/rpfOMbeeaZa4e7sA8evD6rHzu2YK/EEDzcrLs6l+T55/PUU3nhhVt+v3t3v6pP8qMfCR4WXXfZfevWjEZ573uvHe4ekrvnnhw+nCSjUc6cyfnzyeKs6gUPM3Qvsbz5nlt3E+7RR5N3vkzz/PMbM7rbI3hYpds0u9Y7qq9dq3/44f73zz2XmOFhsU0mN+6lv6ZpMp3mQx/K/v39kXPn8uc/ZzBYjOYFD2uZ8RWKbu5v2+zdmy1b0jRZXs5PfnL9w5NzTvBws26mnkyyspK888rqG4xGaZo8+mg+/OG+82PH0jSLca1e8LCWtu0X86s+LNc0WVnJzp156KH+yLlzOXcuw+ECTPKCh5t1l+V37MiPf5xLl/Ktb63+J91k/oUvZMuWJHnttbzySrII78ARPKyl+87Ujh23XLTrDIdp23zuc7n33iRp2/z61/0tvDm/dCd4+K911+rvvTef+ER/5NSp/PGPGQ7nfZIXPNysm6P//ve8/HJ++MP++ZhVul13R45kMMhwmL/8JWfOXP/fc0vwcLMu2QsX8p3v5MknZ73LajBI0+RLX8r27f2s/qtfZWWlX+3PLcHDWsbjXLnSf4Jmtne/O5/5TJI0TV55JX/727x/lEbwsJbptH8Obq2Ldjf66lfTtllayquv5uzZuzO42yd4uFk3QY/HGY+v341fa9buju3blx07+jvwL76YyWSuX3E3x0ODDXTt4ZlVO+2u6e7Gv//9+fznM5mkafLTn/Yfk57bVb3gYS1d8E1zy176W3QrgMcfT5KlpbzxRk6duksDvD2Ch7WMx/0L7f5T8Ek++cm85z1ZWUnT5Nln79IAb4/gYS3XNtD824t23ar+vvty4EB/5KWXcvXq/D5II3i4WXfNbdeufPe7+f73r39rZi1Nk/E427fnwIF+tn/zzfzyl2nbOd1y50MUcEfG44xGOXkyhw7lwoUk+frX89RT/fF5Y4aHtbTt9dP4f2swyHSaj3/8+r763/42y8tzuuVO8LCWpslolKWl/3g6PhhkMsmWLdm7tz/y6qs5fnxOPyYteLhT3Vn/Y4/lfe9LkkuX8vLLyVzejRc83KnuMfhPfSr33dcf+d3vcvlylpbmrnnBw53qVu/DYT796f4M4A9/yG9+k2TuVvWCh3XQreqPHMnmzRkMculSTp9OMncPzwke1kG3qn/kkeza1d+B//nP89Zbc3etXvCwbobDHD6cpaV88IPZvbsvf6523dl4A+vpT3/K6dN54ols377RQ1mL4OF/Yj4/I21JD+up+xbNfNYeMzyUYoaHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KORf8HYz10NJ/PwAAAAASUVORK5CYII=", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAGCklEQVR4nO3dvXUkZRqA0bc0+plzhrNZ4BEDKZADkZEGJhGQAi4hwHRVrdFNjwS9u8Zq0aqeey0ZMqqNp7+/qupl3/cBGu7e+gKAv4/gIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hNy/9QXA/6l1nW2bZZllmQ8f3vpqXsmy7/tbXwPwNzHCwwv7Pssy2zY//DA//zxffTVffz3ffz/bNnfvfwVshIcXzsH/9tt89938+OPMzLffzk8/zek09+9/fHz/X1nwP7Cuc3c3yzIz83S/vvXlvBrBww3rOqfT7PvM7I8fBA8HdV7jnoM/e3h8w8t5ZYKHG7Zt1j/G9YeHZWaWt7ycVyN4uOF0eh78zBykeMHDDc+m9MvD0yFanxnBw03r+myEfzrKfXaCh5teTOmN8HBs2/Zll/7x4U0v5VUJHl64HstdR/gD3GB3JXi44fk5/KNzeDi2F5t2pvRwbIKHkNPpMqVflsuUfjnEVr3g4QabdhBy3bS7jvDHIHi4wRoeQtZ11tPlZVBGeDisP2682U/rzMyyHGqEP9B2BLyedV3WIwZvhIcbrsdyYw0Ph3f+FYoza3g4uPW0bds2M8tyqHP4A30UeD3r531mZpll3GkHR3eez59fXmkND8e1z8ycz+TOL64UPBzW+W6bdb28mtqxHBzfus5lBW+Eh8M7bccc4e3Sww3btlx/esI5PBzW+fjt+qjcwc7hBQ83fP785e8jTekFDzdcg/eKKziyc9jnJ2fOj8oa4eGwzsFfR/i7O8HD0V2fjR279HB45xH+PKW3Sw+H9XwNPzOP99u/+ed3R/DwxX55b+WX4O8f9n/1z++R4OGFP+3SPx5oPj+Ch5uuu/QPpvRwbPv+bA1/oDO58fAM/NW2zel0mds/PR5qDS94+LNtm99/v2zgfXg6VCOH+jDwKvZ9Pn6cjx/n7m4+/eNQy95l3w81Y4H/3r7PL7/Mr7/OssynT/PNN299Qa9H8BBiSg83bNtlDb8sc3egSb0RHkIO9N0F/CeChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQ8k9/dOLzRr2yXgAAAABJRU5ErkJggg==", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAGCklEQVR4nO3dvXUkZRqA0bc0+plzhrNZ4BEDKZADkZEGJhGQAi4hwHRVrdFNjwS9u8Zq0aqeey0ZMqqNp7+/qupl3/cBGu7e+gKAv4/gIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hNy/9QXA/6l1nW2bZZllmQ8f3vpqXsmy7/tbXwPwNzHCwwv7Pssy2zY//DA//zxffTVffz3ffz/bNnfvfwVshIcXzsH/9tt89938+OPMzLffzk8/zek09+9/fHz/X1nwP7Cuc3c3yzIz83S/vvXlvBrBww3rOqfT7PvM7I8fBA8HdV7jnoM/e3h8w8t5ZYKHG7Zt1j/G9YeHZWaWt7ycVyN4uOF0eh78zBykeMHDDc+m9MvD0yFanxnBw03r+myEfzrKfXaCh5teTOmN8HBs2/Zll/7x4U0v5VUJHl64HstdR/gD3GB3JXi44fk5/KNzeDi2F5t2pvRwbIKHkNPpMqVflsuUfjnEVr3g4QabdhBy3bS7jvDHIHi4wRoeQtZ11tPlZVBGeDisP2682U/rzMyyHGqEP9B2BLyedV3WIwZvhIcbrsdyYw0Ph3f+FYoza3g4uPW0bds2M8tyqHP4A30UeD3r531mZpll3GkHR3eez59fXmkND8e1z8ycz+TOL64UPBzW+W6bdb28mtqxHBzfus5lBW+Eh8M7bccc4e3Sww3btlx/esI5PBzW+fjt+qjcwc7hBQ83fP785e8jTekFDzdcg/eKKziyc9jnJ2fOj8oa4eGwzsFfR/i7O8HD0V2fjR279HB45xH+PKW3Sw+H9XwNPzOP99u/+ed3R/DwxX55b+WX4O8f9n/1z++R4OGFP+3SPx5oPj+Ch5uuu/QPpvRwbPv+bA1/oDO58fAM/NW2zel0mds/PR5qDS94+LNtm99/v2zgfXg6VCOH+jDwKvZ9Pn6cjx/n7m4+/eNQy95l3w81Y4H/3r7PL7/Mr7/OssynT/PNN299Qa9H8BBiSg83bNtlDb8sc3egSb0RHkIO9N0F/CeChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQ8k9/dOLzRr2yXgAAAABJRU5ErkJggg==", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "78658904db2692ed2c0b83310e3876fa3c1de6a3abd8428a462c7f698b66108a"}
{"episode": 9, "episode_seed": 920291481, "split": "val", "timestamp": "2025-09-16T00:38:38.901666", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x145549a674c0>", "max_steps": 10, "abs_size": 336, "master_seed": 10000042, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 920291481, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-0.4109456451160707, 3.973581740486806, 58.07422746904259])</answer>", "action": "('move', [-0.4109456451160707, 3.973581740486806, 58.07422746904259])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-0.4109456451160707, 3.973581740486806, 58.07422746904259])</answer>", "action": "('move', [-0.4109456451160707, 3.973581740486806, 58.07422746904259])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-0.4109456451160707, 3.973581740486806, 58.07422746904259])</answer>", "action": "('move', [-0.4109456451160707, 3.973581740486806, 58.07422746904259])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAGeElEQVR4nO3dS25TSRiG4b98adshgUEL1sCcMUMGLJXtdG8jEmo7ASRiVw/OyW0B3bbqe54BMhmVFF7+qnNJWu+9gAyLcy8A+P8IHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoKszr0A/iu9z3+2Vq2dezVchtanfxdAABN+TKdT3d7W8Vg/f9b793Vzc+4FcRmc4cd0ONTXr/XlS336VN++VT3u8Alnwo9mOrQfj/X3X/33Q6uq29uqcoynyoQf1WrZP/x5XK6qtbq/P/dquBiCH1Nb1NVVHR+q99rv7eeZCX4009Z9sWjX7+Zv7t1dHY/nXBKXQ/BjWi7r5u18an8K3pxH8GNqrW5unoM/nc67HC6F4Me0WDzfe7el54ngx7Rc1ps38+fDQfDMBD+mxaLevp0/3x1s6ZkJfljPW/r7ejDhqSrBD+z6uqpquazDP8eT4KkqwQ9puv02TfjFou5/1PHojhxVnqUf2DThW6tey9+/z70aLoMJP6Bpwj8FX+VxemaCH9bTVfqqOhzOtw4uieCHdbWrqvnoLngmgh/Wen2qOk134AXPRPDDWq9qUX26PD8F72dgIPhhrdd1tat+rDLheST4Ya037frdcrpiv9+fezVcBvfhh7Vataf3ZwTPxIQf1nr96oU5KMEPabo4t17X1dX8FcEzEfywXk74uzvP0lMl+IGtVs/B7797IZ4qwQ/s1Rn+HxOeKsEP7PVFO8FTJfiBvfqxdvcesqNK8ENqbX5Ddgq+tdrfL8+7JC6E4Mc0BT/dlmutHh7ar1/nXREXQfBjejnhp7962I4S/KheBN+nHf7d3fPXiSX4MU1hb7dV1Xqv08nDdlQJflTT07XbbVVV77b0zAQ/ss2m6jF4W3pK8GPbbvof61NV9W5LT5Xgx7bd1W7XSvA8EvyYpjP8ZtO2u1bloh0zwY9su32+bjcF7wwfTvAj225rt5s/TxftCCf4MT3dlpsmfFUd9l6JR/BD22xeBO9nYCD4sb3Y0vfDvpczfDzBj+nxKn1tt9Pndvjhe43gx9V7bbe1Ws1T/fveK/H4RRTj6r0Wi/r8uU6n+vChPn6s8uvl4rXuVAcxTPjBnU7V+zzYFw5w8Ux4COL/fAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAjyL14V9rlVqJFmAAAAAElFTkSuQmCC", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAGeElEQVR4nO3dS25TSRiG4b98adshgUEL1sCcMUMGLJXtdG8jEmo7ASRiVw/OyW0B3bbqe54BMhmVFF7+qnNJWu+9gAyLcy8A+P8IHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoKszr0A/iu9z3+2Vq2dezVchtanfxdAABN+TKdT3d7W8Vg/f9b793Vzc+4FcRmc4cd0ONTXr/XlS336VN++VT3u8Alnwo9mOrQfj/X3X/33Q6uq29uqcoynyoQf1WrZP/x5XK6qtbq/P/dquBiCH1Nb1NVVHR+q99rv7eeZCX4009Z9sWjX7+Zv7t1dHY/nXBKXQ/BjWi7r5u18an8K3pxH8GNqrW5unoM/nc67HC6F4Me0WDzfe7el54ngx7Rc1ps38+fDQfDMBD+mxaLevp0/3x1s6ZkJfljPW/r7ejDhqSrBD+z6uqpquazDP8eT4KkqwQ9puv02TfjFou5/1PHojhxVnqUf2DThW6tey9+/z70aLoMJP6Bpwj8FX+VxemaCH9bTVfqqOhzOtw4uieCHdbWrqvnoLngmgh/Wen2qOk134AXPRPDDWq9qUX26PD8F72dgIPhhrdd1tat+rDLheST4Ya037frdcrpiv9+fezVcBvfhh7Vataf3ZwTPxIQf1nr96oU5KMEPabo4t17X1dX8FcEzEfywXk74uzvP0lMl+IGtVs/B7797IZ4qwQ/s1Rn+HxOeKsEP7PVFO8FTJfiBvfqxdvcesqNK8ENqbX5Ddgq+tdrfL8+7JC6E4Mc0BT/dlmutHh7ar1/nXREXQfBjejnhp7962I4S/KheBN+nHf7d3fPXiSX4MU1hb7dV1Xqv08nDdlQJflTT07XbbVVV77b0zAQ/ss2m6jF4W3pK8GPbbvof61NV9W5LT5Xgx7bd1W7XSvA8EvyYpjP8ZtO2u1bloh0zwY9su32+bjcF7wwfTvAj225rt5s/TxftCCf4MT3dlpsmfFUd9l6JR/BD22xeBO9nYCD4sb3Y0vfDvpczfDzBj+nxKn1tt9Pndvjhe43gx9V7bbe1Ws1T/fveK/H4RRTj6r0Wi/r8uU6n+vChPn6s8uvl4rXuVAcxTPjBnU7V+zzYFw5w8Ux4COL/fAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAjyL14V9rlVqJFmAAAAAElFTkSuQmCC", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "2e2eb4b35ce67fa976de386a4aae73efe77455ed36e1b272083877ad12cf425c"}
{"episode": 10, "episode_seed": 2119293095, "split": "val", "timestamp": "2025-09-16T00:38:39.511165", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x145549a674c0>", "max_steps": 10, "abs_size": 336, "master_seed": 10000042, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2119293095, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [4.326506986672355, -3.139509676081594, 21.366252197737936])</answer>", "action": "('move', [4.326506986672355, -3.139509676081594, 21.366252197737936])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [4.326506986672355, -3.139509676081594, 21.366252197737936])</answer>", "action": "('move', [4.326506986672355, -3.139509676081594, 21.366252197737936])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [4.326506986672355, -3.139509676081594, 21.366252197737936])</answer>", "action": "('move', [4.326506986672355, -3.139509676081594, 21.366252197737936])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "12e47a851d685f145a6233d4096dc6e2ee208c774decd936b4904b8038d7d8b0"}
{"episode": 11, "episode_seed": 2052408918, "split": "val", "timestamp": "2025-09-16T00:38:40.494211", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x145549a674c0>", "max_steps": 10, "abs_size": 336, "master_seed": 10000042, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2052408918, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-13.454580344582768, -15.157952079188634, -31.856745749126542])</answer>", "action": "('move', [-13.454580344582768, -15.157952079188634, -31.856745749126542])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-13.454580344582768, -15.157952079188634, -31.856745749126542])</answer>", "action": "('move', [-13.454580344582768, -15.157952079188634, -31.856745749126542])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAK+klEQVR4nO3cX2jV9R/H8df3nLPNBeGfLMihWLvwJrsQwlhJmZbGEjGdYZZY6SopqotAqYu6Cbq0KAidf6ZMiqEVZf4DMcgWLZebNwqCDFdTy3kjNXfO9/u7+H6d80/9NN2+55zX83G1HTf4gnvu/f18P5+dIIoiAfCQSfsCAIwcggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARgkexiCJFUdoXUe5yaV8A3EWRwlBBoEwm+TQI0r6m8sWER2qiSPm8okjZrDIZnTmjPXu0cqX++CPtKytfTHikIIpUKCibVS4nSYcP68ABbdmi9nZJeughvfACo35YBBHLJoygeKEe372Hob76Srt2aedOnTwpSZWVyudVW6uuLlVVpXul5YkJj5EwOK6DQEGg06e1YYO+/VYdHTp/XpIqKjQwoAsXlMuprk5hmO71li0mPIZR/EAum00+DUMdOqRPP9WePerpufKLJ03SihVavFj33KOKCu7nhwXBY1iEoQoFVVQkn/b26vvvtXat2tqS6Z3JJB+MHav779eqVZo3T9XVqV2wCYLHLTY09XxeP/+sXbu0aZO6uyUpm1UYJvvtU6dqxgwtW6bp0y99e/xPjPdhQvC4ZeKS4xv406f13XfavVtffqm//pKkykpduCBJuZyefFJz5ujpp3X33ZJUKCiTIfKRQPC4WVfsn3V1acsW7d+f7LEFgbJZ5fOSdOedWr5cc+aori65ex8YSDbhMTIIHv/R0A02Sfm8du3SZ5+pvV29vZIUBJeOyk6bplWrNGuWJk9OXiH1VBA8blihoChKzsyEoX77TZ9/rnXrdPx4MskH3XGHHntMr72m6dMv7atzA58i9uFxAwoFhWHyQO7sWXV0aPt2bdyYrNIHt98qKzV1qubO1csva+LES98en5kf/DKMPCY8rkuhIF1M+uhR7dmjr7/Wvn3Ji9ls8kBu/Hg9/rjq67VwoUaNki5GzjwvEgSPf3PFJtnevWpt1YEDOnpUkrJZBUFyGz91qp55RjNnqq4u+eJ8PvkCFA+CxzUMno2JnT+v5mZt26YjR9TXJ0nZbDLzJdXXa8UKPfCAamqkiyt8Ui9OrOFxmaGp9/fr+HE1NWnbNp06ddn59ijShAlqaFBjo2prkwdy8T48D+SKGcHjMnHqPT1qb9e6ddq5M7mrH3zSNnq07rtPS5fqued0++3Ji1ds0aFocUuPRPx07dgxtbbqiy/U2SldvkqfMkWPPKIFCzR3bvItHIMtOUx4JMJQuZw6OvTuu5JUVaWBgWShPmuW5s/XE09oyhRpyBN7Ui85THgk4tvy/n7NmKFffpGk227T889r0SJNm6Zx4yQloz7HmChZ/NchEQQKQ1VXa/58nTunV19VQ4NqapLVez6vICD1kseEx2WiSH//rcrKy961gpMzZYPg8Y94G8nyw0YK/hG1lx+CB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwaYuitK8ARgg+bUEgkT1GCMGnJAwlqaNDGzZIUhAkrwDDKZf2BViKImUyOnVKy5bpyBEdO6b331dVlcJQGX4FYxjx45WSKFJ/v8aMkaQPP1Rjo/r6lMkw5zGsCD4N8bp90iR9842efVaSmpu1ZIlOnFAmo0Ih3atDGSP4lMSL9tGjtX693n5bmYx279bChTp0SNkscx7DJIh4PpyieNEeRVq7VqtXq79fEyZo82bNnq1CQdls2teHcsOET1VcexDozTe1davGjNGZMxoYkKQoUj7Pdh1uLSZ8Mdm9W2fPasmSpPPBLfr4A+CmEXzRGNyTiz8IQ7W0aNEijRrFdh1uFX6Mikb8fD6fT9p+5x0tX66VK3XuHNt1uFUIvphks8pdPArV26tCQVu3qqFB3d3KZJTPp3pxKAcEX6zWr9eaNcrltG+f6ut1+LByOZrHTWINX5QGH9R9/LHWrNH586qp0ebNmjUr7StDaWPCF6UgUBQpDPX669q4UePHq6dHDQ3atEmSoojtOvw3BF+sgkBBoHxeDQ3avl2TJ6uvTz/+KCk5e0vzuHHc0he9+Mjdr7+qpUXvvafq6uSP7SS263CjCL4UXB12V5dqajRuHCdwcUOYD6UgPoGrizfzP/2kOXM0b566u5XN8uge14/gS8TQd8Jqa9Pvv+vgQT31lDo6ku067tRwHQi+pORyiiK98YY++USVlerq0oIF2rs3Oa5D8/h/WMOXoHiXvrU1eZ+cceP00UdaujTty0IJYMKXpkJBixZpxw7de6/OntVLL+mDDzQwwJDHv2PCl6z4+XxXlxob1damiRP1ww+aODH5Mxu263AtBF/K4uZ7evTWW2ps1OzZl87kskWPayH4Ejc07PjjP/9UJqOxY3nnDFyNIVDi4j+VjyIVCgoCDQxo9Wo9+qg6O5MD+cAQBF/64gkfz/ODB9XSos5O1ddr714mPK5A8GUhCJTLKQz18MNqatJdd+nkSS1erOZm5fPJLQDAGr7cxMv4/fv1yis6dkySmpr04oscuUeMCV9e4iX9zJnasUPTpmn8eNXWJq8DTPjyFM/zEyfU26sHH0z7alBECL5MDd7DczOPIQi+fHHkDlcheMAIv/4BIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABI/8DCHDqFSF3JHwAAAAASUVORK5CYII=", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-13.454580344582768, -15.157952079188634, -31.856745749126542])</answer>", "action": "('move', [-13.454580344582768, -15.157952079188634, -31.856745749126542])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "d7bc00d25bb5bad9c16994450110034b999a5824a95d0b6b7a39214b54380996"}
{"episode": 12, "episode_seed": 193618377, "split": "val", "timestamp": "2025-09-16T00:38:41.102521", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x145549a674c0>", "max_steps": 10, "abs_size": 336, "master_seed": 10000042, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 193618377, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [33.61705843641574, 30.64520248310546, 39.83647321144281])</answer>", "action": "('move', [33.61705843641574, 30.64520248310546, 39.83647321144281])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKq0lEQVR4nO3dXU8cZQPG8Wt2l67WF7CotNi0sRViQEsrYFE3SI2FWpt45oHfxM/gkQd+BA/02EggVFILDdY1lColacS0RaRpNU1ZbQPs7jwHcz9s0foEI0+XzvX/pQewZDdTdv/MPW/3RHEcC4CHTL0XAMCDQ/CAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMBIrt4LAPy9OA5fRFFdlyM9CB7bT7UqSZkMnW85hvTYBqrV2spcUiajTEaSSiVdu6bx8XotV/qwhkedxLGq1bAyb2ioPX7njn78UfPzOn9eU1OamFC5rCtXtH9/vZY0TQgeD9Z65w0NymaVzUrS7dvK55XPK4r0yy86cUJLS7Wn7N2r+Xnt3684ZpD/L0XxvUMpYMv9XaWrqyoWVSzqu++0sKAPP9Tx46pWtbamlhZJ6utTd7c6OtTerhdf1BNPPOAFTyXW8NhqcRw2yJPt8KT2JPvVVf3wg86e1eSk5ua0tKTffgvPOnxYx4+rUlE+r9On9cgj2rNHu3bV6f+QWgSPLRLHqlQURcpma6v0clmlkpqaVKkol1OxqPff1+Ji+GkUqalJnZ3q79epU5LCCL+7+8+vyR77LULw+BeqVUVRSDGKlMtJ0sqKrl/X0pIuXNDUlEZH9fnnKhQkqb1d+/Ypm9XBg3r1Vb3+ugqFDavxZFCQ7MlLXjbHR3Qr8dvEP7S+12298GS4vrys8XH99JOmp1Usam6u9pSxMRUKimM9/bQ+/lhPPaUXXtjwgtp4ak2Go8X/L+y0w+Ykn5M43lDj1atqbtZjjymKdPGienu1ulr76aFD6urSSy/p2DH19oanJ2GXy9J/T61hrP4AsYbH5qyP22/c0MSEJic1M6OrV/XJJxoclKTmZnV06NdfNTSk3l69/LJaW9Xaqh07NrxIsk3OQL1O+L1jE/74Q+PjOntWZ85ofl63bqlSCT+antbgoOJYu3dreFjZrJqaNpxIUy6HPXmJ9S9QDwzp8T8lg/C5OXV01B7ctUstLTp0SIWChobU1nafZ63vz2PEvp0QPDZhZUX9/cpm1d6uV15RX596eu6za+2vu9+wzRA8NqFa1fy8nn1WjY3hkeQIOXvdHjYEj39ibU1SOLWGzh9CBI/NWb9GHQ8zggeM8AcbMELwgBGCB4wQPGCE4L2sT04BTwTvJYoUx1pbC0fZ4IbgXSQr9rt3lcmooYED6qa4Ws5CcglMHOujjzQzo0JB/f21iaTggxNvLFSrymS0sKChoTAVzQcf6NNPValwuaoXBnYWki32S5d0+bJ27FAU6fBhiQvb/DCkt5DJKI41PV2bA/a99ySC98MaPv2SeehKJZ05I0nlstrawqQVBO+G4NMv2Utz44YmJ8MW+8mTpG6K4NMvafvCBZVKIfgTJyRxBo4jgk+/5IDcyIiiSGtreuaZDfPTwQrBW7h7V6OjkhTHGhjglm2+CD7lknH7pUu6di1MBv/WW3r0Ue68bIrgLQwPh3tA7Nypri5JnEtviuBTLlnDf/llmCq+q0vPPy9xQM4VwadZcgR+YUGXL4dHjh5VS0uYYBqGeNvTrFpVHGtsTKWSJGUy6u5WFDGe90XwaZbc7mlsLEwnf+CAenokJps2xjufWnGsXE7Ly/r++/BIe7va2sKVc/DEO59ayer9m2+0uBge6elRNhvu5gpPBJ9ayQ2dp6Z065YkNTZqYEDifs3eCD6d4lgNDapUND0djszt2aNCIey3hy3e/HRav6379HR4pKcn/AlgPO+M4NMpGc/PzurKFWUyymbDFXKM580RfArFsbJZxbGKxfBtPq+335Y4wc4ewadQsqF+86a+/jp8e+SIWlrqvVjYBgg+tRYWVCyGK+ROnWK6C0gEn0rJuP38+XAoXtLgYJgGA+YIPoWSmW1GRiRpbU0HD+rAgXovE7YHgk+bZDW+vKzx8XDIfXBQjz8usccOBJ9WxaKWl8MG/MCAcjmukINE8Gn1xRdhYN/czJSVqOHOMylUrWp0NIzt+/q0b5/EeB6SWMOnTHJG7eysFhZC4X19evLJcOIdQPCpkmyoj4xoZUVxrJ07deSIJOaoRUDwqZIM40+fDuW3t4c5arlCDgk+COlRrSqb1eJibcrKzk4995zKZYJHwAchPZIN9YkJXb8uSZmMjh7lBDtsQPCpEkWanNSdO5K0e7fefFPikljcg+BTIpmy8vffa1NW7t2rzk6moMcGfBZSIrlO5uJFzc6GR157LVwVD6wj+JRIdsvPzOjmTWUyyuf1zjsS++exER+HNEimrCyX9e23klStqrFR/f0SwWMjPg5pkIzbf/45THEj6Y03wj2hgXsRfBokYc/Pa34+XCH37rv1XSJsUwSfBsm4/dw5RVH4d+xYvZcJ2xLBP/SS8+RLJQ0Ph5vAd3ertVXiCjn8BcGnxO3bmp1VLqdKRUNDyufrvUDYlrge/qGXrMZbW3XunL76Sp99ppMnw03g2UWPP4li9uQCNljDp0eyAZ/cdoatd9wXa3jACBt5gBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8Y+Q8CXmiPuYM+NgAAAABJRU5ErkJggg==", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [33.61705843641574, 30.64520248310546, 39.83647321144281])</answer>", "action": "('move', [33.61705843641574, 30.64520248310546, 39.83647321144281])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [33.61705843641574, 30.64520248310546, 39.83647321144281])</answer>", "action": "('move', [33.61705843641574, 30.64520248310546, 39.83647321144281])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "09cec803876fe8b40f4650b2aabd498b2fb91e41135cebab92a011d31b499e24"}
{"episode": 13, "episode_seed": 462918311, "split": "val", "timestamp": "2025-09-16T00:38:41.705279", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x145549a674c0>", "max_steps": 10, "abs_size": 336, "master_seed": 10000042, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 462918311, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-3.1159952685097205, 0.9988635378295991, 58.40162505638659])</answer>", "action": "('move', [-3.1159952685097205, 0.9988635378295991, 58.40162505638659])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-3.1159952685097205, 0.9988635378295991, 58.40162505638659])</answer>", "action": "('move', [-3.1159952685097205, 0.9988635378295991, 58.40162505638659])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-3.1159952685097205, 0.9988635378295991, 58.40162505638659])</answer>", "action": "('move', [-3.1159952685097205, 0.9988635378295991, 58.40162505638659])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAFRUlEQVR4nO3aTW4TWRSA0Vt2WUiMGDJlhNgdO2HAGtgMY9bBPInt6oFD+Gta3XREEn3nyKpcle3Si+XP8lOybNs2QMPuoRcA/DmChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgoeQ9aEXwL+ybQ+9gi+W5aFXwP8g+KdBZtwLwT8B23Yft5ntPLNt23nO28y352+H5TKcz3M+z/E4p9OcTnNz83W+uppXr+b164d+Rfhdgn/UzufZ7ebjx/nwYa6v53S6be+uwLvhh5O3DzvN6bidTsvtfLOdrk/H43Y8zvk0x8tTznM6L+fZzVy+RWxfhr/39u28e/dnfnvun+AftcvW/dOnef/+t6+xfDcv63L5eTkuM7vZ7Wa/zNxuHJZfbR/WdY7Hefbst1fCwxP8E/D8+RwOc3NzH9faZrs7/kdXVzMznz/Pts2y3B55WgT/qF2KevFi3ryZ0/X5cDjv98t6WNbD7NdlXZd1nf1+9vs5HOZuXtevt7szh8N39/48/PzgHy6+rrPbzcuXt6tS+1O0bI/nDz78wmVbftlcf/uFfOa79u4KFCS/Inhu/cMb4du7lsVHyRMmeAjxr7UQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hPwFmxvYXPZN+BgAAAAASUVORK5CYII=", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "f7db8af3d9105f361ff6d832e02018323c81986dcec6cda9025b5ea0a2b53b55"}
{"episode": 14, "episode_seed": 564750595, "split": "val", "timestamp": "2025-09-16T00:38:42.317226", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x145549a674c0>", "max_steps": 10, "abs_size": 336, "master_seed": 10000042, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 564750595, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [0.4632703872425008, -0.34219490406016795, 46.471722803390186])</answer>", "action": "('move', [0.4632703872425008, -0.34219490406016795, 46.471722803390186])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAK4klEQVR4nO3df4gWdQLH8c/8eNxclts0/SNXM7U0Kc0WMVKuKIQ4SDnJwn+8OiJIQjGJFKIiz1jp1DgqTwgCqbDTow6sCCnhTvvj9h+zNE25w7NtN2u13Ni29Xlm5v6YUdcMbru09ZnP+/XX+qy7DMy+n+/M9zszT5BlmQB4CId6AwD8cggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMGXUJYN9RbgUkXwZZOmyjKl6VBvBy5J8VBvAC6kJFEUDfVG4BLGCF8eWaYo0sGDWrhQr75avAIMFGT8UdS/LFMQKEn03HPasEFdXRozRnv3atSo4ltAjhG+DIJAaaoo0tdfq6tLl12mzk6tXi1JSTLUG4dLCcGXR5bpoYc0Y4a+/15hqNde0+7dimOax1kEXxJhqCTRuHF65BE1NCgMdeKE2tr07bfKMk7mUSD48ohj1WpatEi3365aTXGsnTv1xhuKY1bpUGDSrlTSVGGoPXs0Z476+5WmmjpVO3aopUVZppC3d3v8CZRKGCpNddNNevhhpakqFR04oE2bFAQ/e64+TZkMKAFG+LLJ1+FOnFBrq44eVRCoUlF7u6ZNk/T/Zs/iXlkwwpdNECjLNHKk2tqKw/j+fq1c+TNSl/Tyy1q9Wjt3SmI+oK4xwpdQvkv7+nTPPXrnnWIyb8sWLVr006+9zWcFpk/Xxx9r4UJt26ZTpzRs2MXZcFx0jPAllF+H09ioVat0xRVKUwWBnn5a3d0Kw5+yRJcfIXz3nY4fV6Wi2bOL3466RfDlFEWq1TRnjhYvVpoqjnXwoNavVxCoVhv0b8nfGw4d0smTCkNNmiSJuf66xs4rrXxmfvlyTZ6sWk1BoM2b1d6uSmXQ0+158J98ompVo0dr6tTi96JuEXxpRZGSROPHa8WK4ka6ri6tW6e+PmmQN9Ll/2n/fp06pVpNEyYUpweoW0zalVyWKUl0xx3atUtxrDDU669rwYLBLbTlM3bt7dqxQ83NWrq0eAV1i+AttLdr9uziSTg33KBdu3T55YNrnhX4cuHduvyyTLNmFdfexbH27dOLLw76h/Pa8+ME1D9G+PLLz7s7OjR7tjo6FIYaPlx79ujaawfxw7296ulRU5OamhjqS4ARvvzytfdx4/Tkk4oiRZF6e7Vy5f8atqtVSdq8WTNn6v77ucO2HAjeRZpq4ULddpuqVUWR3npLb75ZLNf/uLzww4fV2alPP2WurhzYixbyu+hGjNBjj2nECGWZqlW1temrr4pv/VCWFev1HR0KAt1yyxBsNC4CgncRx6pWNXeuFiwo7pzds0cvvVQ8KueH8sn5L79UR4eyrLjkBvWP4I3kJ/BPPaUxY5QkSlNt3KiPPvqxa+/y4/mODh09KknTp599EfWM4I3kR+9XXaWVK4slus8/1/r1qtXOu6kmP8rv7NQXXyiONXnyEG0yLjCC95JPvS1Zopkzi9m7V17Rzp3nrbjl/+7qkqSJE9XU9EtvKC4OgreTz8etW1c8KiPLtGqV+vsHNJ9lxYMvP/xQaarJkzV8+FBuMS4cgreTd37rrXrwwbOzdy+8IJ05ST+T/vz5WrxY8+apoeGc11G3uNLOUX4LzMGDuvNOHT2qMNTIkWpv14QJA66dz7/Kb6zlEyrLghHeURiqVtN112nZMsWxokjd3XriCSXJgOn6vPswpPYyIXhT+fL7ffdp1qxi9m77dr37bvEAPEnq61N/PxfYlQy701S+DjdqlFatKqbkenr07LM63q0wVJpJW7fq7rv1/PPq7eXTqkqD4H3lnzN5112aP19JokpFH3ygLVsUhlI10Xvv6e239f77qlSYrisNgrcWhgoCrV2r5ubiBL5trf79H4VRf3rosOJYN9+sYcOKqTvUP4K3li/RXX21Hn+8WKLr7Mz+uEE62Rvs36daTS0tEhfVlgfBQ5KWLNGMGapWFYXatFG7tx4Lenuz5maNHSuxAl8eBO8uH+SbmrRmjSoVKZASPfqH5pqklhaNHSfxLPryYEdCktJUc+fq3nuVJEEc659dY/+sxcGYxmT8eInnWJYHwaMY5BsatGKFxo5VUkvDhuBP4dIjLb8JG4alVZ5FXx4ED0mKIlWram3VAw9IChsi/Su98Zm+RwMp4Y+kRNiXKOQ3yC1bpmnT1NerKVOG3fjrX6WpKpWASfrS4OYZnJV/mPS2vyT/+LuWrwgmXRPyORQlQ/A4x8DCazXF8ZBuDS40DukxQJIEgbI1zyS/+336t+1xLCXnP9EWdYw3cAyQZcqy4K/bwr17g8YG/XaespRRoUzYlzgtf67lsWPq7Q0kXX+9xDV2ZUPwOC1/Uu2hQ+ruVhQRfCkRPE4789lSPT1qbNS0aRIX1ZYNuxOnnQk+TXXllRo9mpvkyofgIUnKsmIw/+wzhWHxUTMoHYKHpNPPou/u1oEDStPiBB6lw7IcBujr05QpOn5cra1DvSm4KLjSDgNkmb75RkeOaOJENTcP9dbgwiN4wAjn8DhXmipJmJ8vK0Z4wAgjPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjAyH8BF2C6tiehIBoAAAAASUVORK5CYII=", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [0.4632703872425008, -0.34219490406016795, 46.471722803390186])</answer>", "action": "('move', [0.4632703872425008, -0.34219490406016795, 46.471722803390186])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [0.4632703872425008, -0.34219490406016795, 46.471722803390186])</answer>", "action": "('move', [0.4632703872425008, -0.34219490406016795, 46.471722803390186])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKd0lEQVR4nO3db4hVZQLH8d/5c2dQw9lFLNyRIiUjJNkV/2AKgkkEi5urLvSmF4UVWWzTn3XD8S/lrBa4gshiULG7uG1JS1DWm7YgKHsRijlpjOyguG0KM6GT4zhz7znPvjjXGWMbNZca5/y+n3eOd+DAne99znme55wbhRAEwEM80gcA4MdD8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARgseVyXNl2UgfBP5f6UgfAEaDEBQzNpQBweOSQlAU6eWX9eWXWrBAixYpz4l/9IpCCCN9DLiGFXnPmKFDh7Rihfbs0cCAGhpG+rBwlfioxvCKM/lz59TdrUpFd9whSVH0v6/CaEHwGF6RckeHzpxRHGvqVEkXn8+HoCwb+gSg/GsfwWN4RcGHD6ta1cSJuu02aWiEz3OFoCTRqVPauFHvvqsoUp6P3NHiCjBph+EVwX/+uQYGVKvp5puV50XwtZrSVJLeeUfr1mn/fs2cqXnzNH48k3rXNILH8Ipw77lHY8aoqUlpWgSfZUpTffWVtmzRzp3KMjU2av9+tbbW/1lM7eMaRPAYXhwrBM2ZozlzVIz3cRxJSaI33tCmTTp0SHGsJFF/v6ZM0d13S1IUUfu1i2U5XIEQ8loeVxJJ3d165hnt3q2+PlUqqlYl6YEH9NxzmjRphA8Tl0XwuKTe3tDTk41rSsePybLo7bf15JPq7Kyf7Oe5pk7V889r2TJJnMmPAsyuYBjVqqT8z3/NZ81LV/76X53hsce0dKk6O9XQoDxXQ4NWrtTHH2vZMoVA7aMD1/AYRghZUHK0Xf85vvufv9q8JD5yOKRplOcaGNDMmVqzRsuXS1KWKUlG+mhxZQge3yGEECqVJDp7/N+Na6M//u1cS344VCpRccXe0qInntCNN6pWU5JQ+2jCNTy+pTg5Ly7R//Knbzb87ptjfT9LohBClOeaPl3btumuu6SLluIxihA8hgyenB8/rt+v1ut7FIIqUVYN8dix0YMPatMmNTVJYnfNaEXwkKQQVKupUtHAgF57TatX6+RJJcqyKFHQL36et/0hLpbZi78X5udGKYJHfQN8HOuzz7Rli159VZIa07w/j8dFZ1f99O9rDvzmJ5ObQq6IUX2U4yLM3eAV+86d2rZNnZ2qpKpleX8tmp/s25j9dvHs6zTh3ixXEgWJkX10I3hfxXV4FKmjQ089pb17FUJ981ySROs2Rqumn5/4j8nZgl9GDdclsai9BDildzR4Dj8woJde0vr16upSmqpWk6TZs7Vjh+bODZJqtSiNWGcvD4K3MzgVf+iQWlv11luS1NCggQFNmKBVq9TaqsZGSQpSxHR8uRC8l2LxvK9PL76oZ5+tP7qq2E5z551at04LF0rFrvjzfYrjevooCz68XRQ7atJUn3yiFSvU0qLubqWpqlWNH6+2Nr35phYurMcfRdLrr2v5cu3Yod7e+i9j9GPSrvwGV86zTFu3ascOnTxZH9hrNS1erLY2zZ4tSVmmSkWSVMv03nvau1dpqocfVhQRfDkQfMkNXrEfOKCWFn34oaR67U1NWrtWjzyicePq03hDc3P953X0qNJUc+eqoYFttKXBu1hagw+ZPH1au3Zpwwb199en4qtVLVqk7dt1++31Vw5NzBW3ufb1qb1dtZqam+s/RCkQfDkNDskffaT16/X++9KFgX3yZD3+uJ5+eujF3zENf/y4envV1KTJkyV20pYHwZdQ8ZDJs2f1wgvavl09PfVVt2pVS5eqtVWzZl1uS3x7uyQ1N9eDZ2WuLAi+hJJEH3yg1lbt2ydJaVpfY9+8Wffdp7FjVa0qTS85bLe3K4rU3KybbpIY4cuD4MujuPrOMq1Zo127dObM0FT80qXaulXTpkmq3xV3GZ9+qhB0/fVqbOTL5MqE4Eslz5UkOnhwqPYbbtCmTXrooaGVtSuabp82TSdOaObMH/h48WNjp12pFIP8F19o/nx9/bVWrFBbm265Zei/vh9W40qH4MvplVd07pwefVS6iodMZpmyTHFM7eVD8CU0uK4+eFccUOBvoYTiWHmuWk1R9D1rzzJJ2rxZ999fv42Or4MtF87ZyimOr2pgL26S2bNHBw+qsVFLlvC0ypLhvcQFea401alT6u2VpOnTJVbgy4bgcUFx9t7Roa4uJQnBlxLB44Ji+vboUfX0aOzY+o01nM+XC28nLhgMPs81aZImTuQmufIheEi66GnVJ04ojjVjxkgfEH4QBA9Jqj/+qqtLR46o+BI5lBHLcrhIX59uvVXd3eyiLyt22uEiIej0aR07pilT6t8aiXIheMAI1/D4tjxXljE/X1aM8IARRnjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgJH/AqsSo6f6eC10AAAAAElFTkSuQmCC", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAH+ElEQVR4nO3d3ZJU1QGG4W/3NEE0BDSYQShFEkQFBy4hlfvxGqzyJrwmj1KRH4MiMQ4/UaMIVAoKme6dg26DTo3xIFSmur/nOeruo1W199tr7dU/exjHMUCHyX4PAPj/ETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUme73AFgB47h8MAz7Og7+Z4Lnl+l8bQie/2YcMwz54IOcPJkLF7K5mUOH9L/ChvE/yzX4qUXtX3+dN9/MvXtJ8v77ee+97OxkaqZYTTbt+FmLueDq1cxmGYYMySvHx/zokp6VI3h+1nyeJB9/nIcPM445/Jvx1KkkmVjSryzB87MWM/nHl3dmszHJiRPDqdNDksFZs7IcOn7BJ9cnyZBkczOvn0ps2q8ywbO3ccyBA3nwIP/8ZnmSHN8cDx7MkyeCX2GCZ2+LC/gbN3L37vKFs2fmsWO34gTP3hbBf/ZZvv02SQ4enJw9t5Fk4pRZZY4ee1vM5Ddu5NGjJDlyJG+eTQS/4hw99rYI+/PPl08PH85bbyV27Fac4NnDOGY6zaNHubm9fOXYsRw+nJ0dwa82wbOHxXr+9p3cvL185fz5eUzvq0/w7GER/J1b4/bnY5JhyNaWU2UdOIrsYbFFf+f2+OBf88kk02nOn0/s2K0+P3piD4uwv7g5yZAk02kuXEgs6Vefd2x2G8dsbGRnJ59+koyZz7N5bGdzc7+HxbMgePb23b1c/2z5+MJF58macCDZbbFjd+/u+Ners8WSfkvw68KBZG937+abuzlwIEneeSfxLfq1IHh2W+zM3fjbkGFjMiQZt7b2eUg8K4Jnt0Xwly8nY548yUsvDS+/vN9j4hkRPHt4/DhXP06S+TznzuXQof0eEM+I4NnDkye5/NG4mOrPn8/zz+/3gHhGBM9PLHbm7t/P9vbyv6jPncvGRuJbN2tB8Ozh2rXMx2EYkoxnz45JZrP9HhPPguDZw6VLSfL9k7zw3Hzzd2MW/2LJ6hM8u41jLn00T5Ixv39j47fHJoni14Tg2W0Y8pc/zxePz5zJ4jM5F/DrQfD8xDDk4cNs395YFH7mTA4dynwu+DUheJ5a/Az+2rU8frzoezx9ah47dmtE8Dy1+EzuypU8fpxxzMFf5dVXE+v5NSJ4nvoh+HFnJ0leOTG8emoSwa8RwbPblSvLvk+ezCk3k1svguepySTff59bt5ZPT5zI0aOZzfyV3fpwJFmazzOZ5Isv8uDB8pXXXss4ZrG8Zz0InqXFFv2n13PvXpJMpzl7NsOw/CI960HwLC127D796+z+/THJ0SN5443EBfx6ETxLi+CvXx+SMcnRF/P224ng14vgSZL5PNNpZrPc+sdkcVa8eGQ8ftyO3bpxMFmaTPLVV7mzvJnc+Pqp2TguL+xZG4In+WE9v31zvHMnSYZh2Lq4MQym93XjeJIk4zxJbv19/uWXsyQHDuT81hAX8GvHveVIFtt0yfatYRyHySQHD+bCViL4tWOGJ+OY6TTjmO2bk42NIcmvXxhPn04Ev3YET8Yxw5DvvsuHH2Y2y3yeM38YNzbcamYNWdKznMafey7vvpuLF3PpUv74Jz+SW0/D6G2cH5nN8vBhplM3n1hPgociruHZzRSwxgTPbi7d15jgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoci/ARRaUOhQYe1ZAAAAAElFTkSuQmCC", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "c0b01a328162c5af63bdd88f735b4ac37cf33262d23f827e6e66383f9c66fd73"}
{"episode": 15, "episode_seed": 2590526157, "split": "val", "timestamp": "2025-09-16T00:38:43.318017", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x145549a674c0>", "max_steps": 10, "abs_size": 336, "master_seed": 10000042, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2590526157, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [9.858152167712676, 12.035177850800101, -21.784108183561358])</answer>", "action": "('move', [9.858152167712676, 12.035177850800101, -21.784108183561358])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKLElEQVR4nO3dz4vc9R3H8dd3d3aTNaZLe0jA1IugGKk2ByOkBYWS/sCaKlioHiwUKk2hFQ/e+ieIUEpACPVUWnqpRVOxByXWX0XFFgptQTFqBY2gh6Q2m93sfL89fL9WbVN1zW52xvfjwRAmk8nOLMxz3t/vdz4z03RdF6CGmc2+A8D5I3goRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETxstq5L152fmxqdn5uBKfAh1TXNcKZtz3Lhf51fq3P5v2u9qe58PbVAOf3o7k9tm67L/PyQ93ic5eWsrub06Zw+nRMnsmtXPve5dN2G9m/CQ5KkbbO6mvH4vVN/SdtmcTHbtg1XO3Ysp06l67KykqWlLC1lZWXI9brrhus8+mh+97uMxzl1KqdPD1frz/zmN7nooiR5/PHcemvefDNJRqOsrubw4dx+e1ZXMze3cb+l4ClvPM7sbP7ylxw6lKWlLC8PU7c/LS/nJz/JLbdkdTWjUb72tbz00ll+yHXX5ZFHMholyaOP5qc/PfttnTw5BN80WV5Oki1bsrCQpaVs3boxv94HCJ7y+r3aF1/Mffed/QovvJC8u/c+HifJ9u2Zm8v8fLZsyQUXpG1z1VXv7d5fc01uuinbt2c0ypYtw9W2bs3cXHbsGK5zxRU5fDgrK1lYyNatOXMme/cmGZ4yNox9eMrrJ/xf/5r77kvTZGFhmLp9pVu35uqrs3v3sHf9zDPDNB6NhtPcXJomi4vZsWPY/T5zJisrmZ/f0I3zT0bwkCTDcbWZmXU+Zvb+43Zdl9Fo+Pldl/H4A4foZmfPw+F6wcPZ9F30fzbNeyn2m/Tv1//T+6/zv02dxxfePpzg4V3/yfvTy0E7eNenOvWepbVQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBD+tui6rq+m6zb4fTJWm85CZcm2bGc/bfDweKdOnf4o+fjz33JN//lPtrIEHy/RpmiT5xS9y11354hfzox/lxIkkNu/5aDbpp9Lycq64IseOJcnu3Tl6NDt3puuG5wL4f0z4KdO26bocOZJjxzIaJcn3vjfUDh9J8FOmadI0uffeJBmPs3Nnvv714bzxzkcS/DRp2zRNnn8+zz2XpknX5YYbsnt3xuNh2sOHE/w0GY+T5PDhvPNOui7bt+db38rcXNp2s+8ZU0LwU6NtMxrl5Zdz9Oiwx75nT66/frgcPg7BT41+e/6BB/Lii2mazM7m5pszGtl7Zw0EPx36MX7iRI4cSZKuy65dufXWdJ3xzhoIfjr02/BPPZWnn87sbJLccEN27PDaO2sj+CnQdZmZycpKfvvbnD49/PXHPx7OwMfn8TIF+jH+8sv51a8yM5O2zfXX5/LLzXbWTPBTYGYmXZf778+pU8P2/A9/uNn3ielkLf10eOedfOEL+cc/0nW58so8+WQ+8xk78KyZCT/pui5dl4cfzquvDuP9+9/P9u3Dq3SwJoKfAk2Tn/0sMzMZj/P5z2f//mFdLayV4Cdav2b26afz5z8Po/7AgVx+uU+54RPyqJlo/Xb7z3+ef/0rXZcLL8yNNw4H6m3P8wkIfnL1q+teeSVHjw6X7NuXa69N2w4787BWgp9c/Xvjfv3rvPZakszP58CBLCxYPM8nJ/gJ1S+Sf+utPPzwUP6uXfnud703jnMi+AnVj/Enn3xv8fxNN2Vx0WvvnBPBT6J+vJ85k/vvH75tYmEhBw9aPM+5snU4ifox/ve/58EHh8K/+tVcdtlm3y2mn3kxifoX3o4cyYkTmZ1N2+aOO6y0YR1YSz9x+vF+8mR2787x42nb7NmTJ57IhRfagedcmfAT6siRvP76cLju4MFs22axDetA8JOo63LoUJomq6u5+OJ85StSZ304aDdZ+sXzf/xj/vSnNE3aNt/+di691HhnfZjwk6V/4e3ee7Oykq7L4mK++c0kgmd9CH6C9O+Be+ml/OEPSdJ1+fKXs2+fL5Zh3Qh+gqyupmnyy1/mjTeSZH4+N96YCy7wghzrRvCTom0zN5e3387vfz8snr/kknznO+k6741j3Qh+UvR76Y88kmefTdNkZiYHDmRx0XvjWE+Cnwj9GF9aygMPDON927YcPJjEeGc9CX4i9Evo/va3PPRQZmfTddm/P5dcYmkd60zwE6F/h8yDD+bkyeH8nXf6EmjWn7X0m68f42+9lauuyvHjSbJ3bx57LAsLm33P+NQx4SfFQw/ljTeG7fkf/EDtbAjBb77+Q+YPHUqS8Ti7dmX//iQ26Vl/gt9k//ke6OefH8b7bbfloot88jwbwmNqk/Vj/O67h++Z+Oxn841vZDQy3tkQgt9M/cvv43F27syWLWnbXHttvvQlnzzPRnGUflK88koOHcq+fbn55ozHgmdDCB4KsUk/KboubeuNcWwsEx4KMeGhEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBTybyl2ifOf4Ba/AAAAAElFTkSuQmCC", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [9.858152167712676, 12.035177850800101, -21.784108183561358])</answer>", "action": "('move', [9.858152167712676, 12.035177850800101, -21.784108183561358])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [9.858152167712676, 12.035177850800101, -21.784108183561358])</answer>", "action": "('move', [9.858152167712676, 12.035177850800101, -21.784108183561358])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAFk0lEQVR4nO3ZQY4bRRiA0b89djxmzsA6Sy6CxLEQF+MILFkjYJuxkzhuFjMMExEQSUii5HtPpVa725Zr80lV3cu6rgM0bD71BICPR/AQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDyPZTTwC+NOv6Lt9cllmWDzGd1yzrf58dfKEul5l5rbeP0N4nIXj4T9b1TeOyruusM+u6rOu8eDHH4/24vb0/OZ3+On+4fjrN7XFun11Oz9bzi/Xnny/f/7D99rvN+TzbD7nstqSn7nyen356rcnH43Gup9OjW88ux9vL8dl6Os3xNMfnV7fPN5dXb/vnm5nZbud8nl9+m3mb7cC7ETxd6zrLMr//Pt988w6/3tzlerf3XpbZLHO1u7+3LK8tBC7rzD+XfD7PzLx8+Q5zeGuCp267na+/nl9/va905j7R9TKXddZ/bXX+XOq/8c7M5e7Hu2X2h2V/WJ7sN/v9PIwnT2a/n5ubefVqnj6d+fDPDgQPczzO8+ePL1yWeXW9m+vrORyW/c3mcNgcDrPfz+Ew19d31+9PHsZXX81+/9et3W5222W3XbZXs93Ndje73bLdzXY7u0fHu7Esc3MzMx92Az8e2sHLl/Pjj3O5zM3NfbpXm3WzmauruT9eLQ8f33jyGRE8/D8e1vaPj39fov/TlY/zIlDw8F7Pxj+vN/b28PCZRfs+Pqv9B/B+BA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ8gfrUjgZ+9Vs9kAAAAASUVORK5CYII=", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "6c1d3b2f8912b357215fd0ac2a234a87f4aa62fe297e6760abf3d348ea6623df"}
{"episode": 16, "episode_seed": 2562151457, "split": "val", "timestamp": "2025-09-16T00:38:43.936767", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x145549a674c0>", "max_steps": 10, "abs_size": 336, "master_seed": 10000042, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2562151457, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-4.610562695914991, -5.251012232473103, 46.85047636393824])</answer>", "action": "('move', [-4.610562695914991, -5.251012232473103, 46.85047636393824])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-4.610562695914991, -5.251012232473103, 46.85047636393824])</answer>", "action": "('move', [-4.610562695914991, -5.251012232473103, 46.85047636393824])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-4.610562695914991, -5.251012232473103, 46.85047636393824])</answer>", "action": "('move', [-4.610562695914991, -5.251012232473103, 46.85047636393824])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "0dc367b60b83118156b17ac4dc620df89cd05854ec4ded56bdad0ed2539b19e9"}
{"episode": 17, "episode_seed": 1351567407, "split": "val", "timestamp": "2025-09-16T00:38:44.545129", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x145549a674c0>", "max_steps": 10, "abs_size": 336, "master_seed": 10000042, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1351567407, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [3.729925239034497, 3.995097317603504, 29.230012088745696])</answer>", "action": "('move', [3.729925239034497, 3.995097317603504, 29.230012088745696])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [3.729925239034497, 3.995097317603504, 29.230012088745696])</answer>", "action": "('move', [3.729925239034497, 3.995097317603504, 29.230012088745696])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [3.729925239034497, 3.995097317603504, 29.230012088745696])</answer>", "action": "('move', [3.729925239034497, 3.995097317603504, 29.230012088745696])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "15ee0cd062b38aa95632786c6f2bd8e195c0862438b2d50151934a1d0483c87d"}
{"episode": 18, "episode_seed": 3045310541, "split": "val", "timestamp": "2025-09-16T00:38:45.538849", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x145549a674c0>", "max_steps": 10, "abs_size": 336, "master_seed": 10000042, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3045310541, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [0.9453075074784691, 14.440119000803904, 4.745993636552233])</answer>", "action": "('move', [0.9453075074784691, 14.440119000803904, 4.745993636552233])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [0.9453075074784691, 14.440119000803904, 4.745993636552233])</answer>", "action": "('move', [0.9453075074784691, 14.440119000803904, 4.745993636552233])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [0.9453075074784691, 14.440119000803904, 4.745993636552233])</answer>", "action": "('move', [0.9453075074784691, 14.440119000803904, 4.745993636552233])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "a908bc534988c4f7bd69264aa5442faddb1fc3cec5e40bd1c22ffa941fb063a7"}
{"episode": 19, "episode_seed": 1800758416, "split": "val", "timestamp": "2025-09-16T00:38:46.153123", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x145549a674c0>", "max_steps": 10, "abs_size": 336, "master_seed": 10000042, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1800758416, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-21.93720179455619, 16.410139992219914, -47.83680149010704])</answer>", "action": "('move', [-21.93720179455619, 16.410139992219914, -47.83680149010704])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-21.93720179455619, 16.410139992219914, -47.83680149010704])</answer>", "action": "('move', [-21.93720179455619, 16.410139992219914, -47.83680149010704])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-21.93720179455619, 16.410139992219914, -47.83680149010704])</answer>", "action": "('move', [-21.93720179455619, 16.410139992219914, -47.83680149010704])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "52214ae81f187f6349ec8d7f2e629f98167b095d3fc647768504f124cfda649f"}
{"episode": 20, "episode_seed": 2798445882, "split": "val", "timestamp": "2025-09-16T00:38:46.762146", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x145549a674c0>", "max_steps": 10, "abs_size": 336, "master_seed": 10000042, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2798445882, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [4.141870293993887, 1.561827922760935, -52.43762044735803])</answer>", "action": "('move', [4.141870293993887, 1.561827922760935, -52.43762044735803])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [4.141870293993887, 1.561827922760935, -52.43762044735803])</answer>", "action": "('move', [4.141870293993887, 1.561827922760935, -52.43762044735803])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAJc0lEQVR4nO3du4tcdR/H8e/MZneTmA3eIyiYQryBisZYBBEVL5gI3hDstNRSsNS/wMLaxs7WJChGIxoLCy8Eb0QERdRCRCVkNzEm2d2ZpzjH2Y2X53FGzew8n9ermh1W+RX7Pr/f+Z1LOv1+v4AM3XEPADhzBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBJ+q369er/r9cY+DM0rwqTqd6nar36/Fxer1xj0azhDBpzpxor78srrdmp6ubrcWF2tpyYT/f0/weZqqDxyo++6rJ5+sF1+sb76p6elat646nVpeHvf4+Bd1+g7qme6/v/bubT9fc01dd13dfnvt2lUXXnjarzV/Hp3OmR4e/w7Bp/rkk3r55dq9uw4ebL/pdGrr1rr55nruuTrvvOr3Vzrv99sflT/hBJ/t5Mn64ovavbv27KmvvqojR+rWW2vv3pqbq06nfvihDh+urVtr/fr295eW2t0+5U8mwadaPYE3Pvusnn++brmlHnqoer1aXq7HH68XXqhHHqm7767rr6/LLquzzhrTcPlnCD7e4A9g9QK+06mffqqHH663326/PPfcuv322rGjbryxbrhhpfzmkl7X7u9kEDy/amb1brempqqqFhfrk0/q4MF655164436/vv2184/vx57rJ599rT/dvVfkdX+GrZu3ANgzeh2T5uop6dr27batq0efbS+/ro+/rheeaVee61+/LE2bKiq6vWq263du2turu6447T/Va9nh29tMsPz55aXq9+vdb/OCktLNT9fr79et91WF11UnU59+23ddVd99VVdeWXt2lUPPlhXXllzc2MdNP+N4Plf/vCa3PJyTU3Vu+/WE0/UoUO1uNh+f/XV9cADdccdddVVtWVLu9RvDhxTU071x07wDGP1fTjNUeDw4dq/vw4cqA8/rIMHV27Lf/bZeuqpWlpaWSBU1eJie+JgtT8mgudvWH1t77vv6v3364MP6s0366OP6q23aseO9uGcp5+uyy+ve+6piy8e63ARPH9Tv9+u2Ken22+++66+/ba2b29v0dm3r3burKq64oq65praubPuvbcuuGCMQ04m+NE1j5M3k1xzJStar9fu2w9O1JsfX321nnmmDh2qkyfb7y+5pA4dqs2bxzXSZILnn9YcCH9zCPz003rppdq/vz7/vLZvr337nMaPheBHt2dP/fBDbdpUW7fWTTedtjnFn3rvvZqZqeuvH/c4Qgl+RL1ebdtWH31UVXXnnbVnT23c+Af3p9Nq3qhV5eRnvMxKI2p2qWZmqtOpSy9d2bHijw32OZaX2808xkHwozt8uE6dqqpav956/i8zw4+VA+2I+v1aWGgX8M3D47D2CX5EvV4dO9Z2vmlT1R89YA5rjeBHdPx4e59orQoe1jjBD60J+8iRlcKb4L3cnbVP8CM6enTl88aN4xsHDMPm8ojm51dm+MErHmGNM8OPaGGh6tdlfPMCGFj7zPAjOnq0rX16umZnxz0a+GvM8ENrVvLNDF9VGze2wbsmx9on+BENgt+wwQzPxBD8iFbP8DbtmBSCH5ElPZNI8COan28/WNIzQQQ/tGbTbnDjjSU9E0TwI/r9ObwlPWuf4Ef0+3N4WPsEP6LVl+Wmpz0qx2QQ/NCapfvgncvNkzMelWMiCH44/X51u7W4WMvL7TeDf0nVOTxrn+BHcfRoLS21n5vgLemZCIIfzuCa3CD4s84a43BgOIIfxbFjK0t6wTNBBD+K1TN8s2nnBJ6JIPjhDJb0zQzf7Xq/FZNE8KMYLOlnZ9slvRmeiSD44fxm02521gzPJBH8KAZL+pkZ5/BMEsGPYhD8YEkPE0Hwwxks6ZsPlvRMFsGP4tix9sPMjE07Jongh/Obt1+Y4Zksgh+FGZ4JJfhRHD/efpidrQ0bPDnDxBD8cKamqlY9DD8zU1Ur99XDGif4ITQPw/d6vw3ew/BMCsEPp9OpEyfq1Kn2RxfhmSyCH0Jzrv7zzysz/ObNYxwODE3wQzt+fCX4TZuqbNEzOQQ/hGaGP358ZUk/NzfG4cDQBD+0wZK+0zHDM2EEP4Rmhv/ll1pcrE6n1q0zwzNhBD+0hYX24Zl+v53hYVKsG/cAJk+/X+ecU9PTtX59nX12lSU9k6PTd1/oX9bvV6dTCwv19dc1P18nTtS119aWLe33sPYJHoJY0g+tOXtvjpPdrrmdSWKGhyB26SGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CHIfwBq0x1BHa16iAAAAABJRU5ErkJggg==", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [4.141870293993887, 1.561827922760935, -52.43762044735803])</answer>", "action": "('move', [4.141870293993887, 1.561827922760935, -52.43762044735803])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAH7klEQVR4nO3b348dZR3H8e/MYZeSIj8M4VcvBMVEjVAo1jW0GomFKrQhWiB6yy3/D3fcmhBoF20TFVACEtoVrVbSEH6mbYAmVgoGQ2B3zzxenMMuVExUYLfweb0u58yczGbPO8/MM890rbUCMvTrfQLA2hE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBF8otaqtfU+CdaD4BN1XXVdVdV4XMOw3mfDGhJ8otdeq1OnqqpGo+r7Go9reUn5Ebrm2i7JMNR4XJs3V9fV3XfX9m3ta1/vNm2afrq0VF1Xo9F0/OfzR/BBxuMajerQobr99jp9erJt2Lq12/7dummubf9ef/nl0z2Xl6vvq3f997kj+CBLSzUzU/feW/fdV1U1MzMd8KvazKhdu7m/7tq24wd12+7u4os+dODkN2LY/xwQfJDWquvqhRdq//568IFh4Zn6t0mctuHcunJTt2VL3Xln/XBnXXjR6meTm/yVCT8+iwQfanGxjh2rh+fb3oeGF1/u33qza9WqVlMejerCLwzfv7n99GejbdvaJZd0s7PTj5aXq+uq75X/2SP4OJNx/oOef7727R0ee7ReeqU/cWK6cTSq8VDVqqrOP2+8647Rrtvb5s31lWu6886bfs/SUo1GNRqt7R/AxyD4XJP/fGurk3N/PdIe+223sFALC3X8+HTj7GwtL0+u59sXLxpu2Tnavm3Y+u1+bm66w3hc1ao3t/9ZIHiqtcnUXZ1zznTLkSN1+HA99VT96sBw8m9dVdd1dc5MLS1Oj7jyyu6GG2purm69tVbKL9N7Zz3Bs2qy8G6yGqeqlpbq+LF29Gj94pfd/ofHf39zeu3e96urdC67rK760nDLjtpzV3/99R/6tmEww3fWETxnaq2GoVpbHfDH4/rHW+3QQvfAz8eP/q57441+cfHMozZubFdfNfz4J/2eO7trvlwbz1/9tvHYU/2zheD5jybv2JwxSr/3Xj3ySO3bV888UyeOt7f/WZO5/Q8M+8N136w9d/U7dtTVV9cVV0wPXF6e3uorfx0Jnv/Kys9kJf533qnf/Lo9/ng7/Of+T39s777X1fuL85eWpvvceGPt3FnfmWtbbvzQAt7JgO9qf+0Jnv/ZMNQwrF7wnz5dB58eFv7QPfFEPfnk5GF+NzNTrdXy8vSIrVv7rd9q225qO27tL7103c4cwfN/mtyct1YzM9Mtp07Vyy+13z/Vzc8PBw92K5f6779+386drWu+2l37jfHuO0Y/uq0uvvgjFgXwqRI8H9dkwJ+8Zjfx9tv16qt14EA9+GA9+2y9++4ZR7TZ2e7mm2t+vjZsqPIYbw0Jnk/MZG7/jIV3L75Yex9qB/YPrxwbnTw5+bF1VXXPPXX//bW4WCsrdlkDgueT95HLb44erQP7h6ef7v5ypHv99Zqfr127pm/ssmYEz6ertWpDtVoN+/Dheu652r27LrjAPfxaEzxrZPLufd8b0teT4FlTk2V8k6d6xva1J3gIYpUjBBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BPkXZta45TtYhG0AAAAASUVORK5CYII=", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "4e6495fa1553587fa05802cf09a21c01ed0ee155dafaf0887fcf20c4b16c97db"}
{"episode": 21, "episode_seed": 312638300, "split": "val", "timestamp": "2025-09-16T00:38:47.372509", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x145549a674c0>", "max_steps": 10, "abs_size": 336, "master_seed": 10000042, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 312638300, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [14.703077391547097, -47.0732303197401, -44.09847991628097])</answer>", "action": "('move', [14.703077391547097, -47.0732303197401, -44.09847991628097])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [14.703077391547097, -47.0732303197401, -44.09847991628097])</answer>", "action": "('move', [14.703077391547097, -47.0732303197401, -44.09847991628097])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [14.703077391547097, -47.0732303197401, -44.09847991628097])</answer>", "action": "('move', [14.703077391547097, -47.0732303197401, -44.09847991628097])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAFq0lEQVR4nO3aYW7bZBzA4b/bJNuExFU4CR+4wXaBnYTTcA8OAVdAmkTixHxogbbrBmysU/V7Hllt/NptnCa/17LVZdu2ARquvvYBAE9H8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhZPe1D+DZ27bZtpmZZXm46f0R+LqW7ebTyv/kpv+7y8zMNnMn/mXur96fFz5nFT7OGf7Tbdssy7x7N7/9Ni9fzm43+/3sdnP1JNdJj0wrM1dXT/TsPFOC/3TrOvv9/PTT/PjjvHo1M7PbzfX1XF8/fLDfbYf9Zb/bXhxmv5/DYQ6H2R/m8OJ6/2I53Bm83bS/s9v+3vjdkZ13j//IR+bT3ZxXf/11fv75H/dd/rw/ut0fnGW5PS3/22WZ5bHxly8ux9PV27fz5s2cTrPff4lXzLMn+M+1rjff/yr5Q1fVy6Nbt23O5zmfP/9Armbml19ufyc8SvCf7uZq+bvv5vvv59tvLu/ebcd1OR6v1vNyudxmfD7PX48v5zlf7o3c23p5sPN2Ps92O48sd2aK7cNzylxff/FXzbPmLv0Xt65zPM7p9HB5dPB2fN1Oxzn9fjkd53S8HC+707qspzket/V4OZ6u1vOyrrOuczrNus75fPssr1/PDz/M+ax8Hif4z3W5zLrOsszfp+Pl9uvd5QncHIbU+QjBf0EP/rQfWX24ae7d3Xv/Bx9MJU85rfCsCf55e//dkz0f4abd8yZv/hP/lgUhgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHkD8AycL+IaNJAF0AAAAASUVORK5CYII=", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "2350dedf98e8c35dc7f74ea78e00aa464d5c9a4af68d90f7d60365dc5ca34b40"}
{"episode": 22, "episode_seed": 3603496388, "split": "val", "timestamp": "2025-09-16T00:38:48.352142", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x145549a674c0>", "max_steps": 10, "abs_size": 336, "master_seed": 10000042, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3603496388, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [0.3428546849127892, 4.80515179968594, -33.73271736277522])</answer>", "action": "('move', [0.3428546849127892, 4.80515179968594, -33.73271736277522])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [0.3428546849127892, 4.80515179968594, -33.73271736277522])</answer>", "action": "('move', [0.3428546849127892, 4.80515179968594, -33.73271736277522])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKY0lEQVR4nO3dT6ildR3H8c85517KO6V0B2RmcmysaVUbK3TZTkFrURE1QkU5FsHQQlCJhjZuWoQoLgxEXAkqDLRoIUIE0kJCISFscNK5Nv8Yp/lzw5lpnHvP0+J5ugZZLeY85zn4fb1W5567+fFw3/f3PL/n36hpmgA1jIceADA/godCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCZ1E1zdAj+BASPItqNMp0OvQgPmwEz+Jpmkyn2djIeGyeny3Bs2Cm04xGefXV3HFHXngho5HmZ2hp6AHAv5lOMx5nbS3f/W4OH86ZM/n853PTTd33XDMbkYXRVn3uXL71rRw+nJWV/Oxn2bFD7TNkO7IY2j35Cxeyb1/+8IcsL+exx/Ltb2c8VvsM2ZQsgLb2y5dz4EBefDFJHn44+/eb22fO1mRoTZPRKJcu5eDBPPNMktx/fx56KJubap85G5ShtdP7uXN54YUk+f7384tfpGkymQw9sg+hUeOcBwNq//y2TsUdOpT778+NN3bTPrMmeIazufnB07jae2OXnoG0tf/ud/npT7O+niRN0034au+NC28YQlv7n/6UH/wga2t555089VQi9d6Z4Zm76TSTSdbW8p3vZG0t11+fu+4aekxVCJ75ak+tnz+f/fvzxz9mMskTT+Qb33DcPh+CZ77G41y5kh//OL/9bZaX8+ijuecetc+N4JmXdk1ufT0PPpjnnst4nIceyoEDbnqfJ6flmJd2Z/6ll/LlLyfJfffl8ceztJTRyBV1cyN45mLrz2x9PU88kVdeydNP5+MfT6zMz5Xg6d9/3gNz6VJWVhy6z59dKXrW1v7yy/nNb7ofE7UPRfD0qa39tdfyla/km9/Mr3+d8TgbG2ofiuDpTVv7kSPZty9nz2bbtiwvJ8l4rPahCJ5+tHeznzyZ/fvz5z9n27Y8+WTuvjtNY01+QDY9PWgvnn333fzkJ3nppSwt5ZFH8rWvZWNj6JFV5+YZZq2dwy9fzgMP5NChjEb5+c/zwx+mabLk721gZnj68fTT+dWvkuTAgRw86NnyC8J/XGZqK+zbbsvtt2f37u55VaORhbpF4MIbenPyZJaWcuONHj67OATPjLRVv/pqbrklq6vvP77KKfdF4v8us9C++PH3v89Xv5qvfz3nzmUyyXTaPZ2SheEYnmu2uZmlpbz+en70o5w6lcuXc/RoVlcdty8gMzzXbDLJ6dO59968/nq2b8+zz+aLX0zcBreIBM81aBeATp7Mvn15+eVs25Zf/jJ33pnNTefhFpPguQbtHL6ykjNnkuTgwXzve7l69X9fLb/1NGrmzyo9s/D223nxxdx7bxKH7otM8MzUfzkJ156ze/75vPJKvvCF7N2bL31p/oPDKj0zsdX5B9Xe/nI6zaFDef75JNm5MydPuh5nAIJnFv7fPvxolAsXcu5cd3R/661JHMkPwD9Yetc+1ers2W5W39zMnj2J03ZDEDxzcvZsTp3qPu/dO+hQCrNLT+/aXfezZ3P+fDerf+YziRl+CGZ45uT06SSZTDIa5bOfHXo0VQme3rV3zR07liTTaT7ykdx8c2KGH4Lg6Vd7Tu7q1bz9dpJMp9m9O9ddN/SwqhI883DxYv761+7z3r3m9sEInnm4eDFHj3afBT8gwdOvdon+4sUcP94dzLdL9AxC8MzD+fO5cqV7SnUbvMvsBiF4+tVeLd/uz7eRt5fZMQjBMw9vvZUkGxu5/vrccMPQoylM8PSuafKXvyTJdJo9e/LRjw49oMIET+82NroZPsmePVlZGXQ0tQme3m1s5MiR7lScGX5YgqdH7Srdu+/m1KnunNyePRmPvZxiMIKnd2tr7xf+qU8l/7pDnvkTPL07ciRJ92747duHHUt1gqd37RJ902THjnziE0OPpjbB07s33+w+fPKTWV1N3Bg7HMHTo3bRrp3hk+za1c3wgh+K4OlRG/bx492Pu3ZlZcVV9EMSPH1pV+ZPncqlS903u3ZlNMrGhhl+MIKnL+1M/uabee+97pudOwccDong6U8b/NGj+cc/kmRlpQve9D4gwdOXreCvXk2S7duzY8ewI0Lw9KYN/q23ug9bwXuf3IBse/rVPp06yepqdu50Ff3ABE8vmibLy7lyJRcudN+srmYysUQ/MMHTi3Y3/vjx/P3v3Te7d7//PUMRPL1owz52LOvrSTIed/fJmd6HJXh60d4Ae+JEF/zKSvd6KSt2w7L56UU7w5840V11s7Jihl8IgqdHW1fRb9sm+IUgeGavXaJvmu4V0Uk+9rFs357NTcEPTPD0YjTKhQt5553ux5tuSizRLwDBM3vtit2ZM+/P8O3rpUzvgxM8s9fO5FvBj0b59Ke7DwxL8PTlb3/L+fNJMpl4Y+yiEDyz187wp0+naTKZZDLJ3r2JGX4BCJ7Za985ceJEkkynWV7OLbckgl8AgmfGmibjcTY2cuxYRqM0TXbuzHXXDT0skgienqyv5403un37dn+eRbA09AD4cFpezt1354YbcvhwPve5oUfDv4waF0PQm6bpzsm3R/UMTvBQiGN4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwU8k/Q+V3l+JuhJQAAAABJRU5ErkJggg==", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [0.3428546849127892, 4.80515179968594, -33.73271736277522])</answer>", "action": "('move', [0.3428546849127892, 4.80515179968594, -33.73271736277522])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "b327c8513a10de0dabd33bb1b4c61eeef6ba129f5720b3abd598873edc84623d"}
{"episode": 23, "episode_seed": 2469243283, "split": "val", "timestamp": "2025-09-16T00:38:48.959834", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x145549a674c0>", "max_steps": 10, "abs_size": 336, "master_seed": 10000042, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2469243283, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [36.32854543175311, -0.6930047177728085, 14.244878098697626])</answer>", "action": "('move', [36.32854543175311, -0.6930047177728085, 14.244878098697626])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [36.32854543175311, -0.6930047177728085, 14.244878098697626])</answer>", "action": "('move', [36.32854543175311, -0.6930047177728085, 14.244878098697626])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKb0lEQVR4nO3dTYhdZ+HH8d+8NRFCCCmiDSEgVam0ShURNG0FdVGqtpJijGBawVg1Ktq6KISIiy5aFSTiwmBFmoCaOoqSYh1bI1ZFpUqsrnxFF6LVUEGbtMm8/hf3mPwttdoaM5n5fT6ry50JOdyZ732e8zzn3BlbWloK0GF8uQ8AOHcED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UEv2otLWVxcbkPgvOM4FenpaWMjWV8PEtLy30onE8EvwqNap+fz5//nLEx4zxnCH61GdX+979n27a8//05flzznDG53AfA2TSq/be/zdvelh/9KEk2bcq+fWe+RDkj/KoyOmN/+OE89FDGxjI1lU9+Mh/9qEGewdiSVZ3VZTSST0/nhhsyO5ulpSwt5cCB3HBD5uczaUrXzQi/2owG8ze/ObfdlsXFTExkfDzveU/uuy+Tk8b5doJfhUZL9Lfckg98IPPzGRvLY4/lxhvz4x9nfDwLC8t9fCwfU/rVaXExS0uZn8/OnZmezgUXZHY2l1+eL385F1+chYVMTCz3IbIcBL9qLS5mfDzHj+eNb8x3vpNnPSuPP56rr84Xv5gNGyzalzKlX7XGx7O4mHXrcuBAXvSiPP54LrggMzPDPN/7fCfBr2ajS2u3bMkXvpBNmzI7m4mJHDyYPXsyPp75+eU+Ps45wa9yo0X7yy/PnXdm/fosLWVqKh//ePbty+Skcf7pGO1wrvCXzDl8hbm5TE3lM5/Ju9413FQzPp6DB7Njh835Z2q0RrLSrLwj5hmYnMz8fG66KR/5yLBcNzeX970v3/pWJiczN7fcx3c+G42Ip07lgx/MTTflF78YXq8VWHuM8D1Gs9Hx8ezenU9/OmvX5uTJXHJJpqdz2WU26v610Uvz4IN55SuHUf2qq3LjjbnyymzenDVrkmRxcbjI6bzf+RB8kdGPenY227fn8OFhc/5Vr8rXvpZnP9tG3b8wivzXv84dd+To0Tz00PD85s259968+MVn3iwXFrK0dJ5nL/guo6qPHcsb3pAHHxym+tdck698ZRirzuPf1eVz+r3wD3/I/ffne9/LoUO59NLMzGTjxuH5o0dz3XXD9y8sZHz8/HwpBV9n9Nv7y1/m2mvzq19laipzc9m1K3feeearPNHousWpqeHx97+fdevy0pcOs6a9e7NvX664Iq97Xd761mzevLwH+xQE32g0CX3ggVx/fR55ZGh+797cdpuT+ae0uJiFhSH7/GO2/+ijufrq/OAHw5MXXZStW7NrV1796qxde+YddBTacr+bCr7UaKPu7ruzc+dw7pnkU5/Ke9+bublMTi77b+Z5bPTxoP//MwMffTT33pu77srRozl2bPi25z8/N9+cd7/7n9bz5+eHTdFlsiK3FvjvTU5mYSFveUs+8Ynhapwke/fmnnsyNeWOuqc0NjbcdTx6PDaW9euzY0dmZvLd7+bDH87WrVm/Pr/5TX73uzP/6pFHkmRyMuPjmZ1drpfYCF9tNCfdsye33z5M7LdsyVe/mpe9zMn80zQa9kenQ3NzmZnJzEx2786llybJX/+aD30oSa65Jq997bDUt7AwTBPOIcG3G20hv+MdOXhwaP6FL8z992fLFs0/faOT/NNnRKffBQ4fHtbwJyby8pfniiuyfXte8Ypzf4CCb3f6U263b883vzlszm/dmpmZrFu3Qq8fXW5LS8PoPTExvIJ/+UsOHcpdd+WnPx2+Z+PGXHZZtm/Pjh258MJzdmiCZ1iZ//3v86Y35Wc/G5rfti2HDg2X2Rvnz46TJ3P0aD73uXzjG/njH4cnH3ggV111zmZTgifJcAvNT36Sa6/Nn/6UiYksLGT37uzbNwxUmv+vPKHnv/0tX/pSpqdz4kSOHMnatefsQATPYNT8kSPZti0nTmRsLAsLuf323Hpr5uc1f5Y8YTf+2LFs3JiJiZw8mbGxrFnzvx7qBc8Zo7n95z+fnTuHa0PXrMlnP5sdOyzgnVWn/9Dn6Yucjh9PknXr/tf/s+D5J6Nx/mMfy623Dh+StWFDDh/OlVdawDvbTt/AeA4JnicaDeY335x9+4aNuk2bcuRILrnEhbcrnuB5olHwjz2Wt78909NZsyanTuUlL8l99+U5z9H8yiZ4nsToUvGHH8711+eHPxzuon3NazI9nQ0bkpX6cS+4lp4nMzp7v+iiHDiQiy8eTuy//e3ccktOnUr+sdjMiiN4ntxoK/4FL8jdd+fCCzM/nwsuyMGDueOOYQFf8yuRKT1PZXTG/vWv57rrzpy979+fXbuW+8h4RozwPJWJiSwt5fWvz/79Zz7u5Z3vzD33DI9ZWQTPv7e4mF27smfP8Pi5zx2uE2HFMaXn3xv9LdrZ2ezalZ//PPv3Z+tW196tSILnP3L6Ls8TJ/K859mNX6kEz3/q9JCu9pVL8DwNy3H1N2eT4KGI92ooIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngo8n853dI5L3yBzAAAAABJRU5ErkJggg==", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [36.32854543175311, -0.6930047177728085, 14.244878098697626])</answer>", "action": "('move', [36.32854543175311, -0.6930047177728085, 14.244878098697626])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "71b5fcd46a18732db242e738f66b6a0e2a87bd87e728dd50b05e77bda059c210"}
{"episode": 24, "episode_seed": 746165845, "split": "val", "timestamp": "2025-09-16T00:38:49.568812", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x145549a674c0>", "max_steps": 10, "abs_size": 336, "master_seed": 10000042, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 746165845, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [6.585233438752567, -6.633985538922225, 48.1682271529074])</answer>", "action": "('move', [6.585233438752567, -6.633985538922225, 48.1682271529074])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAALbUlEQVR4nO3dW2iX9QPH8c/z+/22n1sOJUXKErpIEBMvDILILiwi6UDSoGxmVlNXOMthFimk2WGU5WHaylYTJ5ll5YXWKqUgEJXIgooKJKNMFAtEYWz+Ds//4nmYWfr3tP0O+7xfV7J58fDb89738BwWhGEoAB4SxT4AAIVD8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEHyhhWGxjwDGCL6gwlBBcPLfQIERfOFkswoCffKJamv1xx8KAppHoaWKfQAuMhlVVKizU/X1OnRIx46prU1XXXXKmA/0N0b4QshmVVGhrVs1Y4YOHVJFhXbs0NtvS0zsUVgE3+/yeaVS2rJFDz6oI0eUSimT0R13qKFBkhL8BFBATOn7Vz6vREKbNmn2bB0/rooKZTK6+261t2vIkGIfHPwwvvSXMFQ2q0RCGzaovl7HjyudViaje+/V+vUaMkS5XLEPEX4Ivr9ks0qltG6dZs9WV5fSafX0qK5O7e0aPFi5nJLJYh8i/BB8v4h26dra1NCg7m5VVqqnRw88oPZ2VVcrn6d2FAfB971ol661VXPmKJNRMqkTJ1Rfr7Y2pdMKQzbqUDScen0s6nn1as2bp2xWyaRyOTU0qLVVFRVcdUeREXyfCUPl8woCvfqqmppO1j53rtasUWUltaP4CL5vRLUnEmpu1hNPKJdTKqVsVk1NamlRKhV/FyguzsE+ENWeTOq557RwoaT47ponn9Ty5fF/oHaUAk7DixWGCkMlk1q8WM88o0RCyaSyWS1apJdeUj7PTB4lJAi5mfsi9Ma8cKGam5VKKZdTGGrxYi1ZolxOiQS1o4Rwa+2F612WL1igV16Jb5uV9PzzWrSI2lGKCP4CRbXn85o/XytXqqJCuZyCQM3Neuqp+LvUjlLDlP5CRDP5EyfU1KTWViWT8abdsmWaN49FO0oXI/x5i35Dnjihxka1tZ2sfcUKNTZSO0oau/TnJ7q1JpPRI4+orU2VlfFjMKtXq7ExfokVULIY4c9D1HZ3t2bP1oYN8QNwlZVqbVV9ffwSK6CUEfy5imrv6tKsWdq4Ma69qkqvv64ZM+KHYYESx6bdOYl23Y8d08yZ2rw5vgJ3ySVau1bTpvFwO8oGwZ9dtA/399966CFt3Ro/EjN0qN56S7W13CSPcsKpehbRLt2RI5o+XVu3xtfbhw3TunWqrY3vrgHKBWfr/xP1fOiQpk1TZ6cGDVImoxEjtH69pkyJX24BlBGCP6PogfYDB1RXp+3bVVWl7m5ddpk6OnT77ezJoyyxhj+9aB/u9981fbq++irek7/iCnV06Kab2KVDuSL404j24X77TXV12rUr3pMfNUobN2riRHbpUMY4c/8tWrf/8otqa7VrV/wqi9Gj9cEHmjiRV1mgvHHyniKaq//wg6ZO1d69SqeVzWrMGL37rq67jjtnUfYI/qToCty336quTt99p6oq9fRo7Fht2qRrr+VeOgwErOFj0cr8r780ZYp27lR1tbq6NG6c3ntPY8dSOwYIRvhYECgMNXy4HntMQ4eqq0sTJujDDzV2bPyHJYABgBH+pOiTCAJ1dGjzZq1Yoauv5vl2DCgE/2+9T8VFfwSOPXkMJAR/GtGoTu0YeAj+9JjJY0BiCDs9aseARPCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwaPgwrDYR+CL4FFYYaggUD5f7OMwRfAorCBQd7cSnHjFweeOQolG9X37NGmS3njjlC+iUFLFPgB4CMN46b5kiXbv1jffaP9+LV2qdDqe5KMgGOFREEEQV71ggW68UZmMXn5Z99+vw4cVBGzjFUwQ8lmjYKLB/OhRPf64Ojokafx4ffqpLr9c+TwL+wLgI0YBRfvzQ4eqvV0vvCBJw4YpmYx/ETD29D9GeBRcPh/P8Ds7NW6cRo06ZRnPkr4/ETyKITrrorBzOSWT2rNHmzdr4UJdeqmyWaXYTu4XBI/iibbuEwkdP66bb9bXX2vSJK1erWuuofl+whoexRNN7KMh5/rrlUrpyy91553atk2plPJ5VvV9juBRVNGsvqZGq1bpzTc1fLj279d992nVKiUS7OT1Oab0KAFhqHxeyaR27tSsWfrpJ0maO1cvvqjBg9nG60MEj9LQu54/cEAPP6zt2yWpoUEtLaqoiJsn+4vGlB6lIQiUSCif15VXats2zZqlkSN1112qrFQux/S+rzDCo8REg3lPj/bv15gx8VekeM7PDXkXh+BRwnpX742NSiS0bJnS6fi6PS4IlzpRkqIlfVT7O+/otdck6cABrVmjkSMZ5y8YnxpKUrSkj4K/5RbNnClJW7Zo8mTt3atE4uTztjgfBI/SFoYaMUJtbWpuVnW1vv9et96qjz465aYdnDPW8Ch5vXP7999XU5MOHlQqpaVLVV+v4cO5XHdeCB5lIrq7fvduzZunPXskqbNTkycrm1UySfPniOBRPqLm//xTCxaoqkorV6q6+uRSH+eA4FFWomty3d3KZFRTE8/2Dx7UyJESz9KfHZt2KCvRvTeDBqmmJn6Rxscfa8IELV+uXE5BoFyu2IdY0gge5Sa6Jtf7fus1a3T4sObP15w5OnpUyaSy2aIeX0kjeJShf16lb2nRbbdJ0tq1mjpV+/YplWKcPxOCR9mKgh89Wps2ae5cSfrsM02Zoi++4N7bMyF4lLlcLn5/RkuLamr044+65574Vlz+rM1/sEuP8heFnUjo88/16KP69VfdcIN27FA6LYl9+38ieAwIve/P+PlnPf20nn1W48fzjM1/ETwGEK7Dnw2//zCARI/T5HI8VHMmjPCAEUZ4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0b+B50fJ4qi4FCwAAAAAElFTkSuQmCC", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [6.585233438752567, -6.633985538922225, 48.1682271529074])</answer>", "action": "('move', [6.585233438752567, -6.633985538922225, 48.1682271529074])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [6.585233438752567, -6.633985538922225, 48.1682271529074])</answer>", "action": "('move', [6.585233438752567, -6.633985538922225, 48.1682271529074])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAItElEQVR4nO3dTaxcZR3H8f8zM/eWgFc0gaYhKSKyItENa0IICYibFhuiNpDIWymlEQSRGFlIgIhYKaYSXkKUpMSItFYQBLrCILqQFyMsCAswIWlI7MqqSXtnznExl5tgKuGt9/b29/ls7yxOJvnO/znPPHNu6/u+gAyD5b4AYOkIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIInqXT9zUeV9ct93UEEzxLajSqwaAmk+W+jlSCZyn0fXVddV098EC9+WYNh+b88hA8R1zfV9/XYFD331+bN9eGDf2LL9ZgUH2/3FeWp/XedY6wrqvBoJ58si66qFqr+flas6a23919/RuDxb+yNLzTLJETT6xTT635+Vq1qt55py65pG6/tRvPu6VfUiY8S2E6xv/+Vn/15rZ3bz8z08aT6rvusm/WXT8enHRSjcc1Gi33VQYw4VkKg0F1XZ32+bZnT23dUvPzXfU1Gg5+8XC7+OL+1VdrNKrxeLmvMoDgWSLT5o8/vnbc27bf3c+O+vGkZmbac8+19evriSdqNLJ1f8RZ0rOkuq76vobD+v1T/eZr6u232+xsHTpUc3N122113XULr7GNd4QInqU2/U5+OKzXX68rr6wXXqjZmTo0rlbd1i3thz9qJ5zglv5IETzLYzrGDxyoLVvqkUf61tp0u/7LF/T33lunf6Fp/kiwcmJ5TA/ezM3Vzp116w9q1Ww/mdRoVM88275yYfeH57rRqCYTh3M+YSY8y2nxEN6jv+pvuLH27Vu4pf/siZOf3N0uu3wwfU1ry32hxwrBs8z6vqaz/aWXa9MVk5f/OhjNtMm4RsPu2ze0O+5o091723ifCMGz/Bab/8f+uuqy8eNPDltrrVXX1bp19eCDtXp1TSY1GBj1H5ePTZZfawtfwp98Uv32d6ObbuxnZqrrajSqxx+v886rV16p4XBh/c/HIXiOFou/n7tr2+C++/rVq2s8rpmZeu21Ov/82rWrn77A4ZyPQ/AcRVpbWN5ffnnbvbvOPLPm52t2tvbv7zdurNtv7+vdE3t8NO7hOeos3tK/+WZdc03t3buwY9d1tfFr3b0PtM+c2GzdfzQmPEed6S39eFynn167dtXWa/vp03JGw/rlo+388yZvvLGwFjCtPizBc5SabuPNzdWOn7UdO/pPndCNJzU72/7y0ujcc7pnn1mY8Jb3H4rgOXotbuNt3doe+3U77XOTQ4f62dna985g3bq6Z3vfddWa52d8CO7hWQEmkxoO69W/9Vu29H98YTAzU+Nx9X2/aVPbtq3m5pzM+aC8SawAw2GNx/XFL7Xdu9sVV9T8fF9Vw2F78MFav77eessjMT8oE54VYzrn5+dr+/b+5ptbVU0P3p9xRv/QQ+2ccxaat3v/PgTPSrK4dN+9uzZvrv37a9WqOniwPj3Xb9tWV21q9e7nAodlSc9KsnjYbsOGevrpOuusOniwVs3WPw+0TVf33/3O5D//ruHQNt7/ZcKzIk3H+L59df319dhj/WjUur66SffVi+qenw7WrjXnD8+EZ0Wa/rOqU06pnTvr+9/rx+NJN6mZmcFv9rT16+vPf+r9N6vDMuFZwbquBq2q1cM/7751XR3412B6S7/65H773f3GSwa+rvsfgmdl67vq+hoO6/nn+02b2uuvL2zjDQZ1551100227t/Dpx8rWxss/H7u7LPb3r114QXdwYP9aFTDYa1ZU1U1PY3HlOBZ8Vpb2L1fu7b2PDG49poaDuuWW+rSSxeegc8iS3qOHYu/mX3qqTr33DruuGrNeH8PwXNMccf+/izpOaZMUx+PHa0/PBMegpjwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEOS/SUggMHwqN5kAAAAASUVORK5CYII=", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "0b0e957eb1785f9d264f336592d54625d5181ecf48d4cdf08962f558306c8003"}
{"episode": 25, "episode_seed": 2237471791, "split": "val", "timestamp": "2025-09-16T00:38:50.565352", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x145549a674c0>", "max_steps": 10, "abs_size": 336, "master_seed": 10000042, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2237471791, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [1.8457953750420255, -0.08229007789992693, 55.53667227157113])</answer>", "action": "('move', [1.8457953750420255, -0.08229007789992693, 55.53667227157113])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [1.8457953750420255, -0.08229007789992693, 55.53667227157113])</answer>", "action": "('move', [1.8457953750420255, -0.08229007789992693, 55.53667227157113])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [1.8457953750420255, -0.08229007789992693, 55.53667227157113])</answer>", "action": "('move', [1.8457953750420255, -0.08229007789992693, 55.53667227157113])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "406fe22f5718880de70bd88fddc3423ecbc4fd4e2a5c1cfe9a60783258583a70"}
{"episode": 26, "episode_seed": 2618369027, "split": "val", "timestamp": "2025-09-16T00:38:51.178009", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x145549a674c0>", "max_steps": 10, "abs_size": 336, "master_seed": 10000042, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2618369027, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [0.643768423907074, 0.5145178422721537, 17.094706233090534])</answer>", "action": "('move', [0.643768423907074, 0.5145178422721537, 17.094706233090534])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [0.643768423907074, 0.5145178422721537, 17.094706233090534])</answer>", "action": "('move', [0.643768423907074, 0.5145178422721537, 17.094706233090534])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [0.643768423907074, 0.5145178422721537, 17.094706233090534])</answer>", "action": "('move', [0.643768423907074, 0.5145178422721537, 17.094706233090534])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "565c4c3ad680a2d5ed01436591dc577e52d49b0792b41cbe012c993238ad3eed"}
{"episode": 27, "episode_seed": 4179606460, "split": "val", "timestamp": "2025-09-16T00:38:51.787202", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x145549a674c0>", "max_steps": 10, "abs_size": 336, "master_seed": 10000042, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 4179606460, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-2.596422532017251, -2.1699210204924824, 39.62821081603558])</answer>", "action": "('move', [-2.596422532017251, -2.1699210204924824, 39.62821081603558])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-2.596422532017251, -2.1699210204924824, 39.62821081603558])</answer>", "action": "('move', [-2.596422532017251, -2.1699210204924824, 39.62821081603558])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-2.596422532017251, -2.1699210204924824, 39.62821081603558])</answer>", "action": "('move', [-2.596422532017251, -2.1699210204924824, 39.62821081603558])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "5ab349e1e9d654989fcb3827a2176ecb31669de5b7645f3fb00582c7546108fc"}
{"episode": 28, "episode_seed": 198593019, "split": "val", "timestamp": "2025-09-16T00:38:52.399105", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x145549a674c0>", "max_steps": 10, "abs_size": 336, "master_seed": 10000042, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 198593019, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [5.489213682247033, -1.4926104943957446, 27.023015587583814])</answer>", "action": "('move', [5.489213682247033, -1.4926104943957446, 27.023015587583814])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAALJ0lEQVR4nO3dW4hVdR/G8WevvWfGQiEyQkrwQsqEcUBEvbDTYGp2UKEoUug4mFGhHcACI2gowyATypsOV5GhYJGoJJoTgklHCxVDYUBSFAe7cJrZ7VmHLtZ6fXl7X17zsNfaez/fz13OxV7Q/u7fOvzXWqUkSQTAQ1D0BgDID8EDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIfhWFsdFbwEaDMG3oCRRkmhoSEFA8/gPBN9qokilkl55Rffco2PHFARKkqK3CQ2jlPB1aCFRpHJZn32mBx5QGOrGG7V+vWbPVpKoVCp649AAmPCtI63955/11FOKIrW368gRHT4sSXHMnIdE8C0jihQEGhjQihU6dUrlsmo1Pfmkli3L/sSEhwi+NaR77KWSenvV16eODoWhbr5Za9eqXM7+BIhj+NaQ7sy//76WLlW5rCjSuHHq69OkSYpjBfyq418Ivuml433fPs2dq8FBlcsKAm3cqIULOVeHv+PHv7mlP9enTqmnR2fPKggUhlq5UgsXKo6pHX/HhG9i5wb4gw9q40a1t6tW06JF+vRTtbVJYmcef8c3oolFkSS9/ro2blRHh2o1dXXpnXfU0SFRO/4XJnyzCkNVKvr8cy1ZouFhSRo9Wps2ad687E/Af2MKNKU4VqWio0f18ssaHlZ7u5JEvb3UjvNgwjef9N6YP//UggXauVOVisJQjz2mjz7iIhzOg29HUwoCrVr179pnzNDatdSO82PCN5l0jc3HH+vhh1UuKwx1zTXasUNTp3LVHefHRGgmae379+u557J/KZe1bp2mTs3uigX+P4JvGuke+5kz6unRwIA6OhRFevFFLV6sJGFnHv8I53ObQxwrjhWGWrFCP/ygSkXVqubO1UsvZbOd4PFP8DVpAulplkpFH3ygDRvU1qYw1PjxWr9eV11F7bgAnLRrAunO/J49uvtuDQ1l/7ltm+bO5cw8LgxflkaXHp+fOKFHHsluj0kSvfkmteNicAzf0M6tsenpUX+/2to0MqLFi7V8ORfhcDEYEI0rSbKnU/X2avt2VSoaGVFnp9asUaVC8LgYHMM3rvSq++bNWrJEUaQ41tix2rJFM2ZkfwIuFBO+QZ1bY/P006pWs6dZvPaaZsxQGFI7LhLBN6L0RN2ZM3r+eZ08qfZ2RZGeeEJLl1I7Lgm79I0oHe/PPKP33sueYzNrlnbu1KhRRW8ZmhzBN5z0Ylv6CNr05XDXX6/du3XDDZyow6Ui+MaS1r53r+bN0/CwSiW1temTT7RoEbXjMuAYvoGkq+J/+03LlmlwUKWSwlAvvKAFCzQyUvTGoSUw4RvFuf8PS5ZowwaNGqVqVQsXatOm7Cwdi+pw6fgSNYp0vK9end0eU61q8mS9+y4PnMblxIRvCOmh+9atuv9+1WqSdMUV2rJF3d2sscHlxOAoXnrVvb9fy5erWs3OzL/xhrq7lSTUjsuJCV+w9Nx7raa77tKuXdntMY8/rg8/ZLbj8mPCFyyOlSRauVK7dqm9XSMjuuUWrVnDU6tQF0z4IqUvjdi8Wffdl+3JX3utvvhCM2cy3ltLwyyiYIgUKU161iw9+mh2e8zbb2vmTBbMt5A41siIGmasMuEbxerVGhpSb2/jDAO0IIIvXpIojlUuZ8+34dC9RaS/3IcPa/16SXr1VY0dW/jPOcE3inQ3ntneOtK2+/rU3S1JO3ZozpzC3/XJNGkUvPK11aQ/3tOmafx4BYG+/VZS4QfzBN9AGO8taPRozZmjJNF332lwUG1txTZP8EDdpHv18+crSbR3r44elaQ4LnCLCB6om3SYT52qq6/W6dM6dEgqeEeO4IG6SdseN0633aZyWX19qtWyd4kUhOCBuimVFMcaPVq33qoo0tatGhgodos4NQzUU3rn88yZmjxZXV1qby92c7gOD9Rfraa2tka4DEPwQC6SRGGoICj2NgmCB3JxblFtoYvtOGkH1Fl6j0SSaO1adXZq3TqpsKvxBA/UWfq88SDQ11/r4EFt3iwVtsaW4IG83HGHKhX9+qv6+7O7I3NH8ED9pSfq5s/XmDH6/Xd9+aWSRFGU/4YQPFB/6QPMJk7U5MmKY+3erVIpO7DPeUNy/jzAV5Jo3jxJOnBAJ06oUiF4oEWVSiqVdO+9CgIdO6ZvvskW3uaL4IFcpBfhu7o0YYIGB7VnTyFbwVp6IEflsp59Vr/8kj0VIz1Xn+OSW1baAfk6t9KuiAdaEjyQu+JeM8IxPJCv9FHkw8MaGFAY5vzhBA/kKH3B0KFD6u7WlCnq78/+MS8ED+QoPYIeHNTBgzp5UgcOSLk+5Y7ggRyl7xWaMkWzZ6tU0vbt2czP7fNz+yQA2Z1zV16padOUJNq2TdVqnp9P8EARpk/XmDE6flzffy/ld7cswQP5Sh9TPX26brpJpZK2bMn1w/P8MAAKAoWhxo5VV5eCQF99xVl6oKWlZ+m6uxVF+vFHHTiQ2400rKUHcpcus7v9dq1apc5OXXedlNPFOZbWAg0gfV9F/RE8YIRjeKBQZ89q3z4dOSLlscaW4IFCvfWWurvV2yvlcTWe4IFC1WqqVnX4sI4fV7lc7yFP8EBB0nn+0EOStH+/fvpJqvtePcEDhZowQVOmKIp0+rRU9716ggcKkl54HzNGd96pONbISA6fSfBAceJY5bLmzFFnpyZNklTvq/FchweKkz7H8o8/dPKkJk7M4QMJHjDCLj1QtCTJ7YY5JjxghAkPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABI38B3EkWUugeq7UAAAAASUVORK5CYII=", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [5.489213682247033, -1.4926104943957446, 27.023015587583814])</answer>", "action": "('move', [5.489213682247033, -1.4926104943957446, 27.023015587583814])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKcElEQVR4nO3dz49dZR3H8c+9d2oROgFKDASqjZTSQqaD0DTsRKJVWZC4de0aVizduWRBiP8HG6LEhaCSFAKEH5NOrTjVtNrapCImduhMZ+49Ls6hxUTdML3nzv2+XumiPZv7zKTv+5zn/Bw0TROghmHfAwCmR/BQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUstD3AOB/mkzSNBkMuj98eYOmafoeAzAlZnhmTjurX7mSU6dy9925997cf38WF/se1lywhmfmjMdJsrKSH/0oTz2V738/v/51kkwm/Y5rHpjhmVGXLmU0ymiUv/wld97Z92jmheCZLU2T4TBJ1tYyHqdpcscdOXEiSbedL8OvkJkzHObatZw9mySTSQ4ezL59fY9pXgieWfSPf3TBJ3niiV6HMl8Ez2xpTxP/859ZW+v24R97rN8RzRXBM4suXsxnn2VhIUkefzz5/IuAL0nwzJZ2Vl9dzWCQySTDYQ4f7ntMc0TwzJzxOB99lKbJ9nYeftglNztJ8MycjY2srHR/X17OV7/a62jmi+CZIe1C/dq1/P73GY2SZGkpe/cmcfPMzhA8M+fcuWxsdEfslpYSF9XuHMEzc95/P0m2trJnTw4c6Hs080XwzJyPPkqSySTf/Gbuuafv0cwXwTNzPvig+8uRI/na1xIL+J0jeGbIYJDNzaytdYUfPpzFRZfc7CTBMyvasE+fzuZmt+XQoSTZ3jbD7xjBMyvaQ/ErK9ncTNPkttvyjW8k9ud3lOCZFe0Mv7KS7e0keeCBHDyYCH5HCZ5ZcWOXvvXAA3M0w8/McQjBMxOaJgsL2dzM3/7WbTlwIHfeufsX8JNJtrZmJ3iPuGImtE+2OnMmn37abXnwwSSZTLpL7nar4XCmHs01Q0OhsvaI3ccfd8Hv3ZujR5Nd/Ry7dlY/ezbPP5/nn88nn9zc2J9d/eXJ/GiDP3s2164lyf79uz/41uXL+fnPk+TZZ3PyZMbjfvdYdvuvkznRLtTX1rp/3nVXjhy5uX1Xaod+/HgOHMhwmHfeSfqf4QVP/5ome/ZkfT1//Wu35d57s2/f7j9il2Tfvpw8mabJu+/m6tXs2dNv84Knf20C58/n0qVuy7FjPQ5n57QvzXrmmTRNTp3qdmB6vddX8PSvTeD8+Vy4kCSjUZaXkzlYwLffZI8/nv37c+VKzpxJel6l7PbfKPOg7eLChWxsZDjM3r3dDL/r9+fbH+C++/LUUxmN8pvf5Pr1DIc97tULnp41Tfc0q3PnkmQyma/gJ5Ps25dvfzvjcX7xi/z97/2OyGk5+jccZn09f/xj988HH8ztt3fr312vfdT2k0/mkUeyvJyvfKXf4Qient14G/zHH3dbvvWtPsezw9qz7sePd4/ab/X3TWaXnp6169lPPsm5c/P7bql2Yt/aynjc70AEz0y4eDGbm//xbqk5tGdPRqPu7t+eCJ6etUfszpzpjnCNRnn44b7HtLOapvvz0ktZWsrLLye9nY0XPP27fj0rK927pR59NHfckczBIfobBoNsb2c4zG9/m9XVvPJK0ts1toKnT+1/+88+u/luqcce6141M4e+970sLOQPf8if/5zRqJfmBU//1tezttbt2x87tstvgP+v2p/tmWeyuJhPP82vfpWm6eUAnuDp35/+dPOI3Xy+W2o4zGSSQ4fyyCOZTPLGGxkMuoX9lAcy5c+DL2oX6jfeLbV3b77+9X5HdCs1TX7wgyQ5fTqXLmVhQfCU0zQ33y310EO5++6+B3SLDAYZDPLssxkOc+FC3nqrOy0xXYKnZ4PBzXdLHT2a/fu7jfOm/ZGWl3PwYK5ezZtv9jKK+Ts8wi5z9Wr3bqmmydGj3VX0c2s0ynPPZWWleypGe6x+il9vgqc37X/11dVsbWU4zHichx5K0vtz326x557rfrw+bg+yS09v2pn8vfeyudlFXuJt8AsL3Qm5PtYtc/xFyqy78ZTHF17IqVMZDrtD9HO4gP+i9hH8165lfT133TXlnZlBM88LJnaZObkH/v9ob49fXc1PfpLz5/O73+Xw4W7jVNilp383rkCZ89rz+TLm6tWsruby5e5NelP8sQVP/9pT1CW0M/mxY/nudzMY5LXXMpkIHuZUe+fc7bfn+PE0TX75y2xsTPPzBQ99OHEii4u5eDHvvZdM725ZwcN0tY+pPnEiR49mMMirr071w6f5YUCGw2xv5557sryc4TCvvz7NK+oFD1PXHqV7+umMx3n//Zw+PbUbaVx4A1PXPg/jO9/JT3+apaXcf38ypZNzLryBGTCta28ED4VYw0Ov/vWvvP12956tW7+MFzz06sUX8/TT+dnPkmmcjRc89Or69Wxs5OzZXLyY0ehWT/KCh5608/mPf5wkH37YPehL8DDPDh7MsWMZj3PlSnLL9+oFDz1pT7wvLuaHP8xkkq2tKXym4KE/7dszT57M0lKOHElyq8/GOw8P/Wkf8bO+nsuXc+jQFD5Q8FCIXXroW9NM7YY5MzwUYoaHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIf8GKn5AT5jhYWsAAAAASUVORK5CYII=", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [5.489213682247033, -1.4926104943957446, 27.023015587583814])</answer>", "action": "('move', [5.489213682247033, -1.4926104943957446, 27.023015587583814])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAICElEQVR4nO3d38od1R3H4d/aewdtJKRBoi0oWholkUgUY00pTasp/olva9sb8Bq8slJijAVpLBYaiRrbWlSMLRhTRI2ITYSYd8/qwbzQG+iekXyf53CfzDr5sNbMrFm79d4LyLCYewDAdAQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQVZzDwBuWr1X71VVi2/NxNr6OCIggBkeNuXatbp0qd5+uz7+uJ5/vvbvr96rtTmHJHj4/1uva7msl16qF16oy5druewPHq6nnm7rda1mbe5bc28BN5FxGr/jjrpypXbtqmFo58/PPaaqEjxswmJRw1DHj9c9d61v3KiqOvd6++qrWq1qGGYd2JwXh5tXa9VaPfGLRWvVe537y/DhxV5V8z4lFzxs0G9+23qvXbvqyhf1t79X1cwP7QQPGzGGfexY7fvusF5X1eLs2fbNjZnfyQseNui22+qZZ9owVFvUmdPrLz6feVUveNiU3muxqK1ftqratapPP1+8849ZF/SCh80ZZ/Kjj/Tbbl1vb1dr7fTpqllv4wUPmzKG/b3vt5+fWA69eq8XT/XxLd1cBA+bMr6Q27OnTpyo6rVa1cUP2zvvVM13Gy942KD1uqrq4Ydr9+6dLTenTnloBzep8SXcoUP10EM7wZ8508eZf57xzHNZyLBY1PZ23XlnHT26k/jFi+2DD3b23s4wnhmuCUnGyfyxH/Vdq6GqvvyyXj4z9L6z2p+Y4GGzlsuqqp8eX/zwvkVVbW/3V//Yx5320xM8bNa4qr/77jp031DVq9q7Hywv/3ueL+cEDxs3Hm53/Ge1WrWq+ueHw5//NFTNsKoXPGzcclmt1dMnF3v3VlVdv95eP99qji13goeNWyxqva6DB+sH94xzejt/vn366QyresHDFMbJ/JlnF+Pjurcv9Pfe7VWCh5vRuAPnueda7325rKvX6q0L//t9umFMejXIduRI3XtvW6+rqp09265dq8Vi0l13gofprFa1tbXznfwrr9Qnn1RN+yGN4GEiY9hbW1VVq1V9/XW9+WbVtM/qBQ+TevDB2r+/b29XVb14qk/8XzSCh0ndfns9+VQbhmqtXj4zXP3PpFcXPEyktRqGuuWWeuLxXtVXq/rsyvKNN6smvI0XPExnDPvIkdq3r7a3q7X6/e8mPcdW8DCd8a37gQPtscfauMH+Dy8PNeFzO8HDdFqr7e3au7eOHetVvbW6/MnyjTd2VvsTEDxMaly9P/pI7f5O772uXq3Tp9a9Cx5uRuN5GD/+SXvg8KKqeu+vvdYmOw9D8DCpxaJu3Kh9++rwAzvnYVz81+L992u5nGKSFzzMoPd6/PF2662tqi59VK++WjXJeRiCh6mN52E8caLt319VNQx17tzOBvtNEzxMbTwP46676uDBnV8uvFUfXZpiVS94mM3Jk9VatUW9+97w1wtDbf48DMHDDMbV+9ZWrVa1WNQ337TPPmu1+S13gocZjC/hDhyow4e2+7qqWi2meC8neJjTr369GsZZfZLt9IKHeYyr95PPVpum9aoSPMzr/vv7wfuH1mo5SYuCh3mMt/F79rSTv1z2Xje2p7io4GE2w1DLZT35ZB09Wo8+WrX5U6tbn+uf6YGqqlqv6/r12r17imsJHoJY0kMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUOQ/wJbKHkp45cFwwAAAABJRU5ErkJggg==", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "0e4aa7a96b3b6f11177b97f0a428c4b52d893fad38e59e8bdf59c880713928ca"}
{"episode": 29, "episode_seed": 3046361863, "split": "val", "timestamp": "2025-09-16T00:38:53.369946", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x145549a674c0>", "max_steps": 10, "abs_size": 336, "master_seed": 10000042, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3046361863, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [23.060314497371436, 1.9634242552264194, -14.54361075065242])</answer>", "action": "('move', [23.060314497371436, 1.9634242552264194, -14.54361075065242])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAALIUlEQVR4nO3dW4hV1QPH8d+5TM2Uk1IWloNIjtIUphhdpZCG0FAEDboYWEhEaWAGFRGWb71YQfnSkw+CbxGkNKTZxcZKGtFQ0yzN6sG0MksbpzmX3cNazSj117Hm3znr/L6fJ93Mw2b2/s5ee+119sllWSYAHvK13gEA/x2CB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeGG5Zpiyr9U78PYIHhk+WqVJRLqdcLv63zhA8MEyqVVWrKhR08qTeeEM7diiXU7Va6906DcEDw6FaVT6vQkFbtmjRIs2fr8cf108/KZerq+t8sdY7AKQvy5TPa/9+vfqqVq/Wr79K0gUXqL8/XuTDCL8O5LJ6+vMDpCTLBnvetUsPPKDt2yWpvV3PPKP58zVqVI338C8a8ApfrcYDMTB1AgyzMIAfOL2yTOPHa8wYnX++nnpKixdrzJi4vc5OQa7wwLnIMpXLamqSpG3btH+/7r47hr17t/J5dXRIipf9OqtdjRd8qaT331dfn6ZMUVub8kxKYhiVyyoWJenAAa1Zo5UrdeKEurs1ffppF/P6u7APaJwhffglHzmihx/WwYOaOlUPPaQlS2q9W2gYlYqKRfX3a/VqrVqlXbskqb1dx47FHwjXzrq8sA9onODDE9ADB3TokJqbtWOHjh6V6vqvLRIRzqFCQV1dWrlS774rSS0tWrJEixbFMXwiJ1njBB9G7x99pN9/V1OT8nktWFDrfULSwgrZcMU+eVJPP63Vq3XihCTNmaPly3XDDdKfE3iJaJDgw3Hp7VVXlySVSpoyRVdcISXzlxd1Jtyuh7OnXFZzswoFnTihyZO1fLnmzYs385WKCoXa7uk5aZDggyNHtGWLCgVVq5o9Wy0ttd4hpCiskC0W1dur7m51dqpQUC6nxx7TpElasEAjR0p/3rEnVbsabGntBx+oXFY+ryzT7bdLqreFzKh74QQqFvXOO1q4UDNnau3auDx2wgQ9+qhGjkxicu5/aZDgw29+3TpJKpU0bpwmTBjcDgxVsaivvtIjj+iuu/T665K0dauk2HylkvokcOMM6Xt79d578bh0dqqtrdY7hISEjEslvfiiXntNBw9K0sSJeu45zZo1OHWX2gD+rxoh+DBLunmzfvlF+bwqFd1yi4rFwVUSwN+rVOIdYD6vTZu0bJl27pSkiy/W4sVaulSjR9d6F4dZIwQRgn/zTVUqknTZZbr2WonxPM7g1BWyIfuvv9bOnWpu1ty5ev55XX11/DE11JmUfPADY7Hu7rhl6lR1dKR+q4X/p1B4U5P27FFbm0aMkKT77tP+/ero0MKFkgaH8Y0l+Um7sMBu+3YdOhS3TJum1tY42wqcJsviGVOp6JVXNG+eVq2KEz8XXqgXXtDChSqXG/hykXwT4cHbpk1xIW1rq26+uYGPF/6pgcF5Pq916zRjhpYu1Rdf6KWXdPTo4CR8WDDfuGdP2sGH2RZJn3wSyx83TtOnx8MKDAoNf/ml7r1X99yjLVtULGruXG3YoIsuGlwtn/48/JmlfQ+fZSoUtHevPv88brnmGl1yiUqlOB0DxGv7zz9r1Sq9/HL8cNu0aXr2Wc2fX9M9q4G0gw+TLz098blpU5PuuEMSl3ecIozSd+3SihXKMk2cqAcf1LJlamlpvEn4s0o7+DD+6ulRuaxcTiNG6M47JYLHqcKHK269VStW6OBBPfnk4Etp/E6UhIMPx+vw4bj2McvU0aGxY5mxw+nC2ZDL6Ykn4hO4UknFomHtSnrSLgzH9u1TT088drNn19UrwFE3QvOh9kpFTU2214SEgw+HbNs2lctxbD97tu1xxBCEF1o0+jz8maU6pA8P5H77TRs2SFKppPb2tN41hP8cZ0bSV3hJP/yg7u74eoI5c3gUB5xFqsGHP9Y9PTp+XMWiskwzZ9bb13gBdSfV4IP165XLqb9fl18eP90E4AwSDr6vT2+/Hf89Y4YuvbSmewOkIMngw7h961Z9/70KBWWZZsxQS4sqFeZlgDNJMvjwdZHr10tSpaLWVk2eXOt9AlKQXvADLybYuDH+9/rr4wM5y6VTwDlIL5HwBH73bn33Xdxy3XUaNSoupwdwBukFHz733tUVP+bY0qIbb6zpDgHpSC94SVmmDz+M5V95pW66SWI8DwxBYpWErwD69lvt2xe3XHWVxo5lPA8MSXrBS/r44/jGi2JRt91m+BYD4B9KKfiBZbOffqq+PkkaNSquqPX+BBQwVIkFXyzqxx/V0xO3jB+vSZNYbwMMVUrBh/H8nj3avj0+ig+Xd2oHhiil4EPYn32m48fjito5cwa3AzirZIIPryo5eVKbN0tSpaK2Nk2bJhE8MGQpBS/p8GFt3Bi/8HPWLJ13Xq13C0hKMsGHy/jOnTp2LH4JdBjP88YLYOhSCj7L1NUlSeWyWlvjeB7A0CUTvKS+Pr31lnI5Vavq7NTo0bXeISA1KQW/d6+++Sa+qbKzM35TEDN2wNClEXy4UV+zRpL6+9XSEsfz4ck8gCFK47304TJ+//1qbtbatWprU3v74HYAQ5TLUpvm7u1Vf79aW1k/D5yzlILnjh34l9K4hw+oHfiXUgoewL9E8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wMgf1Vt7ge0M4i0AAAAASUVORK5CYII=", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [23.060314497371436, 1.9634242552264194, -14.54361075065242])</answer>", "action": "('move', [23.060314497371436, 1.9634242552264194, -14.54361075065242])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [23.060314497371436, 1.9634242552264194, -14.54361075065242])</answer>", "action": "('move', [23.060314497371436, 1.9634242552264194, -14.54361075065242])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "04d2183de877021d94a46b96cf8caf0a9315edb15f2851498b19538e3bb25bad"}
{"episode": 30, "episode_seed": 2273130549, "split": "val", "timestamp": "2025-09-16T00:38:54.001557", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x145549a674c0>", "max_steps": 10, "abs_size": 336, "master_seed": 10000042, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2273130549, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [4.313552449662848, -1.7433040379748606, 8.050875220900053])</answer>", "action": "('move', [4.313552449662848, -1.7433040379748606, 8.050875220900053])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAALIUlEQVR4nO3dX4hU5QPG8Wf2zK6aFQT9AxMVRa2ERCjtQtwkUCQLiaLSwpLAwjLTskgipbCbuqmbokWQQKMupCLQssIw02iV7I/tReq2i5a2bG5ZOnPO6eKcX/4ucnd2252Zd5/v51JvDsN+533f8573TCFNUwHw0FDrCwBQPQQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwRfA0miNK31RcASwVdbkqihQRLNowYIvqqy2o8elaRCgeZRbQRfPXEsSZ2duu8+LV2q7m6aR7URfJWkqQoFSdqwQbt2afNmzZ+v1lYVCkqSWl8cbBB8lWST+ZYWvfGGmpryif3ll0vKvwiAKiikzCmHXja879unm29WT48aGhRFeu89zZt3buQHqoARvhrSVN3devhh9fSoWFSS6JlnqB01QPBDLpvMr1mjr75SsahyWQsW6KmnWLqjBgh+aJXLamjQ66+rpUVNTYpjXX21XnlFI0ZIrN5Rdazhh1C5rGJRn3+uRYt04oQkjRihN9/U7bfn/wVUGSP8UElTFYvq7tbatfrlFzU1KU21ejW1o5YY4YdEmuYPzK9YoddeU2OjSiXNm6f331cUSUzmUSMEPySyG3WbNumBBxRFimNddZV27dKECdyZRy0R/ODLkj54UHPnqqtLkpJE776rhQupHTXGGn6QZUmfPq1ly3TyZL7r/uyzWrhQcUztqDGCH0xpqjhWkmjlSn35pZqadPasbrlFTzyhNM1PxQI1xJR+MGW331ta9NBDShLFscaO1QcfaNo0xXF+uw6oIYIfNFnSX3+tBQt07JiiSA0N2rJFixZRO+oFs8zBkc3YT57U8uXq7FShoFJJK1dSO+oLwQ+CNM3v1b3wgvbsyR+hbW7Wc88pjlm6o44wpR8E2a77li1avFhRpHJZV1yh3bs1cSL7cKgvBP9fZUl/951mz1ZXlxobFUXaulW33XbufZVAneDv8T/JHqHt6tKyZerqUrGoUkmPPaZbb1WSMLaj7hD8wGVL9yjS+vX64gs1NqpcVnOznnwyP+tO8Kg3TOkHLtt137JF99+vNFW5rDFj9OGHmjKFO/OoU4zwAxTHKhZ14IBWrdKZM/nd+Bdf1JQpKpepHXWK4Aciu1HX06M1a/Tzz/k+3IoVuuceJQln3VG/mNIPRHb7ffVqvfxy/pq62bO1Y4dGjqz1lQG9Ivh+y4b3t97SXXepWMzPuu/YoalT2XVHvWNK3z/ZEdeDB7VqVf6jMQ0N2rhRU6dy+hUBIPh+yDbh/vxTq1bp2DE1NipJ9Mgjuvvu/O20QJ3j/lKlso23KNK6ddq5Mz/r3tys55/PU2d4R/1jDV+pbGt961bde2/+gsrLLtP27Zo+nV13BINpaEWyyXxbm55+Ot9yT1O99JKmT1eSUDuCQfCVOnNGy5fryJH8PNyjj2rJEo7HIDD8tfYtOwazbp0++URNTSqXNWeONmzgeAzCwxq+D9kD82+/rcWL89fUXXqptm/XjBks3REegu9NNmP/8UfddJN++kmNjZLU0qIlS/i5KASJKf15Zd+EHR1aulTt7SoWdfasHnwwX7oztiNEBH9e2XOyUaSLLpKkUknXX6/16/Mn6li9I0RM6XuTNf/bb9q4US0t+ugjXXcdD8wjYATfh3/y7uzUmDHUjrARfN/+iZzaETrW8H2jdgwbBF8pascwQPCAEYIHjBA8YITgMbyUyyqVan0R9YttOQwjHFfuC58OhoU4lqSPP9b8+Xr8cZ06Jf3vOAT+D8FjWMiC/+wzbd+uTZt0wQUSW6n/guAxLESR0lRtbYoizZmjYpHh/V8RPMKXHVc+cUKHDyuONXNmrS+ofhE8wpcN5m1tOnpUhYJmzar1BdUvXtqC8GXBt7fr+HFJuvba2l5OPWNbDuHL/oZPndKhQ+ro0MKFamqq9TXVKYLHsMAOfGUIHjDClyICl41YnZ165x0dOZJvyOM8CB7DwrZtuuMOrV2r7m6JZ+zOi+ARsuw9RKWSWltVKChN82fscB4Ej/D98Yf27VOaatYsjRqVv0gc/4bgEb6uLn3zjaJIEydKzOd7Q/AIX2urJI0dq3HjJM7M9IbgEbKs7b17JWnSJE2aJIkN+V7w0SB8u3dL0sSJuvBClcuM8L0geATu99/1ww+SdM01kpQktb2cOsfhGQRu5Eht26b9+zV3riR+xLt3PFqLwPEUfX/wSSFwWe1xzG5cJQgeYcry/usv7d2rX39VFHGvrhIEjzBlN+e+/VZ33qkZM/Tpp5I4OdMn7nAgTNkI39qq9naNGqXx4yV24PvGB4QwZSP8/v0qFDR5ssaP5we9K0HwCFCaqlhUqaS2NqWpbrgh/0f0heARoGwr7vBhdXRIyt9LzfBeAYJHgLLB/NAhHT0qSTfeWNvLCQjBI0BZ8N9/r1JJ48ZpwgSJEb4iBI/QZAv4NFV7u+JY06bxUurKsS2HABUKimMtWaJLLtHMmYqiWl9QMHiWHuFjQ65iTOkRsnKZN9j1C1N6BChJdOKEokgXX8wCvl8Y4RGUbAV6+rSWLtWVV2rz5lpfUGAIHgHq6dGBA+eOynBmpmIEjwB1dOj4cY0erSlTJB6q7QeCR1Cy+3P79uVnZsaOlTgk1w98UgjQ3r1K03PBc5e+YgSP0MSx9uyRpMmTFUUqlQi+cgSP0HR2qr1dI0fm76VGfxA8wpG99GLnTp09q9Gj8+BZwPcHD94gHNnUvblZr76q06f5YakB4Fl6hInn5weEb0eEJk2VJNQ+MIzwgBFGeMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjPwN+4kIktYI0yAAAAAASUVORK5CYII=", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [4.313552449662848, -1.7433040379748606, 8.050875220900053])</answer>", "action": "('move', [4.313552449662848, -1.7433040379748606, 8.050875220900053])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [4.313552449662848, -1.7433040379748606, 8.050875220900053])</answer>", "action": "('move', [4.313552449662848, -1.7433040379748606, 8.050875220900053])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "a6d2e039b84a991762ff9e2b4b93cac07e744e1791c7abfdf36e44d566bf7cc9"}
{"episode": 31, "episode_seed": 4245810280, "split": "val", "timestamp": "2025-09-16T00:38:54.620275", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x145549a674c0>", "max_steps": 10, "abs_size": 336, "master_seed": 10000042, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 4245810280, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-11.605037731428228, 4.330269732431687, 52.93191815348009])</answer>", "action": "('move', [-11.605037731428228, 4.330269732431687, 52.93191815348009])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAJxklEQVR4nO3dTXOVd8HH8V9yQgtY+oChPCyKJaTTqlg6joC46BJnlHfgkoXjTre+BncuHDe6cOOMCxcuXWqnD3Sg4jiUpDZDO4rCCNEOIOSc3IuTOykpbUctgfD7fCYL5lznnFwZ+F7/h5PhmlheXg7QYfJ+nwCwcQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRabu9wnwnxuNMhxmYiJJJibWvuDTTCwvL9/vc+B/trSU0SiDQQaD+30qPNCM8JvH8nImJrK4mJ//PEtLeeaZ7N6dvXuzZ0927Fj/5OEwo9Ed478pAEb4zWQ4zGCQM2dy/Hhu3kyS6ek8/XSefjq7d2d6OidO5OTJjEaZ/JitmfEl45Mf4aFmhN88xmVu2ZKTJ3PmTN55J1eu5MqV/OlPK08YjXLyZIbDTE7mBz/IxYv54hdz8GAOHszsbHbtukvbq48sL2f10m868PAywm82o1Fu3cqtW7lxIwsLmZvL3FzOn8/cXL73vZw6laWlTE1l9+78/e8rL5mayvbt2bkzBw7kW9/Kd7+b7duzvJylpdy8mW3bMvXx1/3l5TuWBmxygn8YLS/n+9/P2bO5ejXXrmVxMYuLK4e++c38+td59NEk+elP8+Mf58iR7N+f2dk880yefDKPP54dO/L443eZ/C8tZXk5k5OfdIHgwSb4zemuf2sfHYFHo7z7bi5ezMJCLl7M/HxefjmnTmV5OcNhvvOd/PKXdzz/ySezf3/2788vfrGyEXj1av7613z+89m9+978JGwowT+kxqPx1NTHzsOHw/z2t3nttbz/fi5ezHvvZWEh168nyZYtuXw5TzyRJL/6VX74w0xPZ9++7NmTffsyO5tvfztbt9rw24zMzR5S41n3eAU+3pAbL8VXLwGDQU6cyIkTGQ6zuJhr13L1aq5ezcJCkmzbtvKhwB//mAsXcuHC2ju/8EJefjlbt96HH4r/meAfap+80zYcJslgkJ07s3Pn+qPjqd+pUzl8OPPzuXAh77yTN9/MzEy2bbtnZ8y9ZUpfb/wPYPVjucnJT7lG3LiR7ds/9qN+HmyC59NYqz9EXKf5NGp/iAgeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiri3HGy08a09R6MMBht9zy63moINsnov38Hgvt3Ox5Qe7onx7Tk/PJ5OTGQwyNRUlpZy+nR+9KOcP7/yzA1jSg+fjdXCxzfgXTeGX7uWN97Iq6/m1VczP59//jOXLmU4zPPPb+hob0oP/6XVwj+6Gr99Ox98kH/8I2++mVdeye9+l7ffzr//ndu373iHEyfym99kagOHXSM8/GfG+22jUSYnV1odDJJkcTGXLuUvf8m5c3n99bzxRi5cWHvVRzfnHnssH3yQ4VDw8IBZ3W8br8NX6710KXNzmZ/P22/n3LmcO5f33lt71ZYtmZjIrVtJMholyc6dee65zMzkuedy6FC+/OU88siG/iCm9HAX6zbbPuzdd3P2bM6ezfnzWVjIn/+cK1fWjm7ZkuSOqfu+fTl8OC++mBdeyIEDOXAge/fe03P/JIKHlbzHA/hdt9DGs/TXXstbb+Xy5Vy5kn/9a+3oxMT6nfaZmRw7lqNHc/hw9u7Nrl154om1o8NhhsNMTq58bSTBU2rdLP3DbtzI9es5fz6//31eeSWnT2dxMTdvZmnp7m+1bVsefTQHDuQb38jx4zlyJLt2ZevWldF+9dsNhysXlI+7rGwAwVNnNMpweEeNt2/n8uVcvpy5uZWR/PTpXL++9oTJyZVF+NhgkOnpTE/nC1/IkSM5ejRHjuSpp+7+vZL7Wfg6gqfU9esrK/C5ubz1Vv7wh5w5s3Z0MMhgkNu31+bqg0FmZvLss5mZyYsv5tChvPRStm5de8m6kh6QwtcRPHVefz0/+1kWFjI/n/n5tcfHkS8trQ3mjzySr3wlhw7lS1/KwYOZnc3s7Pqpweqv2TyYha/jYzmKjFfs77+fn/xk7cHBIMNh8v97aTt25Gtfy5Ej+epX8+yz2bMne/fesbV261YmJlb22z4c/6YgeOq89NLan8fR7tmTr389R4/m+PHMzOSxx/K5z93xkvF23bjzDf7k/LMleOo89VROnMjf/pajR3PsWI4dy/PP3+Vpq3v4ExMb+stw95Q1PHWGw1y/nh077nJotYZNsSD/LwieUuN1+ybab/tMCJ5G47l6If8BBo06a4/goYrgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgocj/AU1COXUONqusAAAAAElFTkSuQmCC", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-11.605037731428228, 4.330269732431687, 52.93191815348009])</answer>", "action": "('move', [-11.605037731428228, 4.330269732431687, 52.93191815348009])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-11.605037731428228, 4.330269732431687, 52.93191815348009])</answer>", "action": "('move', [-11.605037731428228, 4.330269732431687, 52.93191815348009])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "cc1329d85daecb241c4396af34e596096cffe657c27b8c1ae8f6ffdc491e8c3c"}
{"episode": 32, "episode_seed": 2898335060, "split": "val", "timestamp": "2025-09-16T00:38:55.639002", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x145549a674c0>", "max_steps": 10, "abs_size": 336, "master_seed": 10000042, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2898335060, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [8.874214426066386, 6.891887574163415, -26.830256619498517])</answer>", "action": "('move', [8.874214426066386, 6.891887574163415, -26.830256619498517])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [8.874214426066386, 6.891887574163415, -26.830256619498517])</answer>", "action": "('move', [8.874214426066386, 6.891887574163415, -26.830256619498517])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [8.874214426066386, 6.891887574163415, -26.830256619498517])</answer>", "action": "('move', [8.874214426066386, 6.891887574163415, -26.830256619498517])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "4b8f28f215b84392b5bfb32849bec28f909e46681b9af40a218ff9c4ae5ea22c"}
{"episode": 33, "episode_seed": 1429362127, "split": "val", "timestamp": "2025-09-16T00:38:56.259595", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x145549a674c0>", "max_steps": 10, "abs_size": 336, "master_seed": 10000042, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1429362127, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-2.020019366102971, 1.2530872863279878, 51.700631840831456])</answer>", "action": "('move', [-2.020019366102971, 1.2530872863279878, 51.700631840831456])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-2.020019366102971, 1.2530872863279878, 51.700631840831456])</answer>", "action": "('move', [-2.020019366102971, 1.2530872863279878, 51.700631840831456])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-2.020019366102971, 1.2530872863279878, 51.700631840831456])</answer>", "action": "('move', [-2.020019366102971, 1.2530872863279878, 51.700631840831456])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAIcElEQVR4nO3dS6hd5RnH4XftffZJEylaQdMWIhRaUBDsoHRUtE5abW1jJAPTWtTSxIi1F/ECYie1HVTURMRLYhOlpl5RQ9JgKTizBSeZ9ApSETUH0hbBSSTZl6+DfTilJdRbci75P894Dxbr8Nvf971nLXbXWisgQ2+pLwBYPIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIJnybS21FeQR/Asgcmkqqrrlvo68giexTYaVa9Xc3O1b18dPVplqV9EgmdRDYc1M1Ovv16bN9f69fXgg1WCX0Rdc7NZLKNRzczUH37ftm6tP/6pGwxqMqk9e+rKK6s1O/zFYIVnMbRWk0nNzNQzT02uuKJNax8Oa+3aOv30pb64JILnpJtMquuq16t7755cc207/I/e7KoaDtsFF7R9++rSS+c/wCKwpefkmm7j3323brut3X9/63q9fq9Go/a1r052Pdr/5KdqPK5+f6mvMobgOYmmtc/N1dattX9/9fs1mVRrbfN3Jw883J+e4Xt2mYvIzeZkmdZ+8GC77LLav79mZmo8ro+tqp/dWTt39QeDqlL7YrPCc+K1Vq1Vr1e/2T+5/vp661BvOqI7++zavr1t2tSNx9XrObcvAV+wnGALI7qHHmrf+nZ761BvdlDDYZ13Xu3dW5s2ddMHb9S+JKzwnEjTCdxoVLffXvfc0yat6/drPKqLvjR+/In+unVlbV9agueEmR7a//XPtnVre+753rTq1tpVm9qOX/bWrDGiW3puPyfGtPa//Lld9vXJc893M/1qrQaD+skd9fgTvTVr5k/1LC0rPB/VwojupZfalu+1117vZme7Y8fqzE+0e7d1V189f6q3jV8OBM9HsvAM/O7ddcst9fbbNRjUcNg+c87k0V/1LrrIQH55mVnqC2AFWziT33FH3XXX/Jtww2F98QuTXz/R++znuvGoen21LyNWeD6k8aj6M/XOO+3669qTT/eqqt+v8bg2bqxHHqkzzjCiW478QfgwRqPqz9Rrf2/rvzF+8umu35/ft996az31lNqXLys8H8z0Rdd+v15+uW3Z3P76t24w6IbD+vhpk7vv7bZs6RZmeCxDgucDWBjR7dnTbr65O3x4OqKrT68dP/pY95VLekZ0y5zvYd6vhbfW7/zpZPPm7vDh+RHd5y+Y/PZ3PbWvCKb0vC/T52qOHKkf3DDe9VivqmZmajSq9d9sO3f2zl7rtfaVwQrPe5v+v+3NN2vjxtr1WL/fnz4hP/nRD9szz3ZqX0EEz3sYjWowqFdeqfXr68UXazCo8bgGg7Z9W23b3s3Ozs/wWBEM7fh/plO6Z59pP76pO3RofkR31lm1Y0dt2OCZ2ZXHCs/xLfw4zN2/mFxzTS3Ufv75deBAbdhQXmtfiQztOI7piO7Ysbr5pvH9D3RV3exsHTvWLrmkdu7s1q2b/wArji09/2s4rMGg5ubq+zdMXthb/ZleazUZT67bXNvu661ebUS3gtnS81+mL7EfPNguv7xe2NsNBr3xqPpd+/md7eGdvdWrqzW1r2C2ZfzHdES3b1/deGO98UZNn5k988x23/Z21Xf604XdoX1Fs6Vn3nTk/uqrdfHFNTdXq1bV0aN17rm1Y0e78MJuNFL7qcCWnnldV63VOefUli1VVUePtou/PDlwoNR+KrHCcxzXXltHjtTu3XXaaV50PaUInuObnuf9ivMpxlc3x7GwCqj9FCN4jkPnpyrBc3yaPyUJHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoL8G8D7AlaXDzpaAAAAAElFTkSuQmCC", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAIcElEQVR4nO3dS6hd5RnH4XftffZJEylaQdMWIhRaUBDsoHRUtE5abW1jJAPTWtTSxIi1F/ECYie1HVTURMRLYhOlpl5RQ9JgKTizBSeZ9ApSETUH0hbBSSTZl6+DfTilJdRbci75P894Dxbr8Nvf971nLXbXWisgQ2+pLwBYPIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIJnybS21FeQR/Asgcmkqqrrlvo68giexTYaVa9Xc3O1b18dPVplqV9EgmdRDYc1M1Ovv16bN9f69fXgg1WCX0Rdc7NZLKNRzczUH37ftm6tP/6pGwxqMqk9e+rKK6s1O/zFYIVnMbRWk0nNzNQzT02uuKJNax8Oa+3aOv30pb64JILnpJtMquuq16t7755cc207/I/e7KoaDtsFF7R9++rSS+c/wCKwpefkmm7j3323brut3X9/63q9fq9Go/a1r052Pdr/5KdqPK5+f6mvMobgOYmmtc/N1dattX9/9fs1mVRrbfN3Jw883J+e4Xt2mYvIzeZkmdZ+8GC77LLav79mZmo8ro+tqp/dWTt39QeDqlL7YrPCc+K1Vq1Vr1e/2T+5/vp661BvOqI7++zavr1t2tSNx9XrObcvAV+wnGALI7qHHmrf+nZ761BvdlDDYZ13Xu3dW5s2ddMHb9S+JKzwnEjTCdxoVLffXvfc0yat6/drPKqLvjR+/In+unVlbV9agueEmR7a//XPtnVre+753rTq1tpVm9qOX/bWrDGiW3puPyfGtPa//Lld9vXJc893M/1qrQaD+skd9fgTvTVr5k/1LC0rPB/VwojupZfalu+1117vZme7Y8fqzE+0e7d1V189f6q3jV8OBM9HsvAM/O7ddcst9fbbNRjUcNg+c87k0V/1LrrIQH55mVnqC2AFWziT33FH3XXX/Jtww2F98QuTXz/R++znuvGoen21LyNWeD6k8aj6M/XOO+3669qTT/eqqt+v8bg2bqxHHqkzzjCiW478QfgwRqPqz9Rrf2/rvzF+8umu35/ft996az31lNqXLys8H8z0Rdd+v15+uW3Z3P76t24w6IbD+vhpk7vv7bZs6RZmeCxDgucDWBjR7dnTbr65O3x4OqKrT68dP/pY95VLekZ0y5zvYd6vhbfW7/zpZPPm7vDh+RHd5y+Y/PZ3PbWvCKb0vC/T52qOHKkf3DDe9VivqmZmajSq9d9sO3f2zl7rtfaVwQrPe5v+v+3NN2vjxtr1WL/fnz4hP/nRD9szz3ZqX0EEz3sYjWowqFdeqfXr68UXazCo8bgGg7Z9W23b3s3Ozs/wWBEM7fh/plO6Z59pP76pO3RofkR31lm1Y0dt2OCZ2ZXHCs/xLfw4zN2/mFxzTS3Ufv75deBAbdhQXmtfiQztOI7piO7Ysbr5pvH9D3RV3exsHTvWLrmkdu7s1q2b/wArji09/2s4rMGg5ubq+zdMXthb/ZleazUZT67bXNvu661ebUS3gtnS81+mL7EfPNguv7xe2NsNBr3xqPpd+/md7eGdvdWrqzW1r2C2ZfzHdES3b1/deGO98UZNn5k988x23/Z21Xf604XdoX1Fs6Vn3nTk/uqrdfHFNTdXq1bV0aN17rm1Y0e78MJuNFL7qcCWnnldV63VOefUli1VVUePtou/PDlwoNR+KrHCcxzXXltHjtTu3XXaaV50PaUInuObnuf9ivMpxlc3x7GwCqj9FCN4jkPnpyrBc3yaPyUJHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoL8G8D7AlaXDzpaAAAAAElFTkSuQmCC", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "70f4da7788f2fb997ce441842176a875656f0e160da3a41ca01f75fc87a161e4"}
{"episode": 34, "episode_seed": 1875494210, "split": "val", "timestamp": "2025-09-16T00:38:56.879040", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x145549a674c0>", "max_steps": 10, "abs_size": 336, "master_seed": 10000042, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1875494210, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [1.6725219097586843, 5.114664162111352, -59.58257252635673])</answer>", "action": "('move', [1.6725219097586843, 5.114664162111352, -59.58257252635673])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [1.6725219097586843, 5.114664162111352, -59.58257252635673])</answer>", "action": "('move', [1.6725219097586843, 5.114664162111352, -59.58257252635673])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [1.6725219097586843, 5.114664162111352, -59.58257252635673])</answer>", "action": "('move', [1.6725219097586843, 5.114664162111352, -59.58257252635673])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAH9UlEQVR4nO3c349cZR3H8e85s21qLyAaWppAetMaU2tJWGkLlNgIZgVRijEB9W/gH+Bv0QtuDKgUSKnYaFsCgk0VKUskhZSQFKQgJm2ESJrOzjlezMkWlqKYbrutn9franN+TM7Fvuc8z3Nmpun7voAM7UpfAHD5CB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCJ7l1PcrfQX8R4JnOTXN8Effi/9KJHiWwbTt99+vY8fq44+rqppmiH9hobpuJa+NTxI8y2Bhoarq4MGana2bb+4efrhefKHef6+vqpmZatuaTGo8Vv7Ka3oDLy5a39d4XA89VI88Un0/7b//xtf7H+xpd93ebbup3bhxOHI8rrattj0/+OdyEjwXq+uqbevUqZqbq9deq6qamammrfG5Yf/sbLPr9rrt1v7bd7UbNgxnTSayXwGC52L1fTVNnT1b8/N19Gjtf7r//cGualRVo1H1/TCSXz3Tbdna3nRT3XNP3XtvXXPNp15hSv+XmuBZZh99WO++2x881Dz2i+5PL9V4Yek60Zo1df36fueO7sGfjO66q6699vyuyWRY7VP+JSJ4ls2SUXrX1cmT9cQT/ZOPdyfeGn3wwQVO+fK1k+/d2z7wYPPN2X799c2qVcN2U/1LRPAss+k/1JJQX3+9nnqqnnuujh+vkye76eOhmZmaTKbH99d9pbvv/tHcXG3bVlu2DKdPFqrrazSq1tOkZSJ4LqHpx2/6vkajYcv8fD33bHfkaPv88/2pU31V2zS1alWNx0P5Gzc2d95Zt91Wu3bV1q3DWQsLw93eDf8iCZ7Loeuq66pphvK7rl6d7195pQ4/2+zfNznzz1FVtW2NRjUeD6ds2lTbtna7d9f372s3b/7Uq11wEMEXIXgun+mKfdfVzMyQ67lz9bd3+r+83Dz+q+7Ab+vDfw1j96YZbvhVdcMNzde+Ovnhj0b331833rj01czz/yeCZwUsPqtbHOp3kzp9pg4frkcfrSNH6vTpGo/7qvMpN019aU23c0f/45+O5uZq/fpau3bYtbBQTaP8L0TwrKTpDH/J5PzMmdq3r/vNvvrr8fbNE/14oamqpq2mhreJtq277649e2r7Lf2mzc3iI/1z54YVPuV/HsFzBZn2v7gm/9579bsD3R9eaP78Ur36aj9d21+1qrquJpOq6teuqe/MNbu/1e3Y0ey89fxTPT6P4LniLE71FwN+66069nL/4h+bAwfq+PFh4+rVdW48neb369bV7Gzt3N5/9+7mlu3N6tUrdOlXPMFz5ZreyZumZmaGLe+8U2+8Uc88U3v39m+/XdNJftsufg+vX3dd87Of1549w0yBJQTPVWBxbX+q7+ujj2p+vn75WLf/6f7v/xidPXv+4BMnavNmwV+Y4LlqLP6Kzic/eNd1dehQ7f11d+Rovflmu3t37dt3/q2BJQTPVemzX7CbTOrJJ2vDhrrjjpW6qKuA4LnqTQf8o5Ex/H8neP5P9P2wwrf4YR4+S/AQxNcOIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIci/AWwXwh3XJVAAAAAAAElFTkSuQmCC", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "37c72fec981d3f0ad8950ccecc86d7775aafc6675d65036f1864ae3a6f904ef7"}
{"episode": 35, "episode_seed": 165482060, "split": "val", "timestamp": "2025-09-16T00:38:57.497611", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x145549a674c0>", "max_steps": 10, "abs_size": 336, "master_seed": 10000042, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 165482060, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [1.2514953195483016, -5.397096469050365, -16.006764022619212])</answer>", "action": "('move', [1.2514953195483016, -5.397096469050365, -16.006764022619212])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [1.2514953195483016, -5.397096469050365, -16.006764022619212])</answer>", "action": "('move', [1.2514953195483016, -5.397096469050365, -16.006764022619212])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [1.2514953195483016, -5.397096469050365, -16.006764022619212])</answer>", "action": "('move', [1.2514953195483016, -5.397096469050365, -16.006764022619212])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "3c57a3413123145b4c5ae77f3d3610ad4b61a62e2ad47a969cf326887fa9d5e8"}
{"episode": 36, "episode_seed": 3677643790, "split": "val", "timestamp": "2025-09-16T00:38:58.486843", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x145549a674c0>", "max_steps": 10, "abs_size": 336, "master_seed": 10000042, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3677643790, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-8.322823972648145, 132.56698975213445, 7.069939150022748])</answer>", "action": "('move', [-8.322823972648145, 132.56698975213445, 7.069939150022748])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKPUlEQVR4nO3dW8jkdR3H8c/MPAdE1PKhFmRBWtK8CPLAUqGCGoqBm+KFROBDGrgeKszFQBAFwQt1FZZOFLi16wFlvbFIXC3yQtzALsQgiWT1ItQNZFXQZeeZmX8X/6kt8/DsWj3+5/t6Xe3h5g8z7/l9/7/5zUyvaZoANfTX+gKA/x/BQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KmVvrC+C/YWUlTZNeL/Pza30pfKz1mqZZ62vgo2lTh1Uw0nfcZJJeL7femosvzk03Jcl4vNbXxMeXkb7L2tr/8pds3Zp33smGDUliZOP9Cb7Lmib9fl54IUtLOfbYXHddkvRNbbwv9/Ad197Av/pq9uzJpZe6n+eDCb7jxuM0TebmErt3fDjBz4rxOIPBWl8EH3fu97ppMkmSV17J5s25447s3692VsOmXTe1c9nzz+dnP0uSs87KmWca6flQgu+mwSCjUR5/PL1evvjFnHLKWl8Q3WCk76B2ef/b37JrV5oml16apaXpkA8fSPAd1M7tTz+dV17J0lLOOiv5xyEc+ECC76ydO9Pr5eyzc/rpaRqbdqyG4LumnedffjlPPZVeL+edl8XFjEaWd1ZD8F3TBr9jR95+OyeckAsvnB6whVWwS9817Ur+hS/kkkty4ok56SRHblg9J+267I03ctxxSczzrJLgu6lpTPIcAc+Y7mhfmt98M/v2Td+E82LNYRJ8d4xGSfLII/nMZ/KNb+TgQZM8h0vw3dHv5+DB/O53OXAge/f6vkqOgOA7YjTKYJAXXshvfpMk112XwcBIz+ESfEe0+3PPPJN9+/KpT+Wcc9b4eugmwXdBuyH/5pt59NH0etm0KSecsNbXRCcJvgva0X3v3jzxRHq9XHRRFhYyHtu043A5adcF/X4mkzz0UBYW8vnPZ+PGxGEbjoQVviPG4zz7bIbDnHNO1q/PeOzUDUfASbuOaJr88Y/ZsycbN+a00zKZOD/PERA8FGIs7I7x2O/G8RFZ4aEQKzwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ43q1p1voK+J8RPIe0qfd6h/7MjBE8U+Nxer3s3Zv77stwOM2eGSN4kmQyyWCQd97JtddmeTnf/37277fIz6C5tb4A1l7TZDLJcJgrr8zu3en3s21bmibbtmU0ypznyAzxYFbX1j43lxtuyMMPZzDIeJx163LJJUkyGKzx5fHfZaQng0Fuvz0/+EHm5zMeZ3Ex27fn3HPTNO7kZ02vcaNW2HicwSD33purrkqSpknTZMeOLC8b5meTFb6ulZUMBvnlL3P99dOpvtfLPfdkeXn6V2aP4IsajzM/n9//Ptdck7ffzuJihsPceGO+9z2T/Cwz0lfUJv3ii7noovz5z5mfz8pKlpfz059mYSG9nuBnluDLaWt/7bV89at57rnMzWU0ygUX5OGH84lPZDJJ39g3uwRfS1v7gQPZtCm//W0WFjIc5owz8utfZ906w/zs82JeSPvavrKSK644VPuGDbn//qxbl8lE7bPPVmwVTZPxOE2TLVumB2yGwywt5YEHcsop0/fnmHlW+BLa2ufmcvfd+dGPpu/AHXts7r8/X/rS9CA9FbiHn33tcZp+Pzt35pprMhxO/3H79iwvW9trMdKX0O9n9+58+9s5cCC9XiaT3HnntHZ78qVY4Wdcu4D/4Q+54ILs3z99E27Llmzdak++IsHPsrb2F1/M+efn5Zen2/KXX5577838vOArEvzMao/Q/PWv2bTp0AGb88+fHrBp7+qpxmM+m9o31V9/PVdeeaj2U0/N9u355CfVXpeHfQa1s/pwmC1b8uSTWVjIaJQNG7JrV9avt1FXmkd+NvV6ueWW7NiR+fkMhzn++Dz0UD77WW/CVSf4WTMapdfL1q258870+1lZydFH58EHs3Fjmkbt1dm0myntAn7ffVleTr+ffj8LC/nJT7K8bE+exAo/S9raH388116bwSD9fsbj3Hzz9IANxAo/M9ran3kmX/taXn99+uWz3/lOtm5Nv5/BwPJOIvjZ0Nb+pz9l06bs3Tv9BpvLLsvOnZmf9w02HCL4zmsP2Lz6ai6+OM8+m8XFHDyYr3wlv/pVjjrKrTv/RvDd1vb81lu57LLs3j1d2089Nbt359OfVjvv5tNyHdb+aEx7r/7P2j/3uezapXbem136rmons8Egt9ySnTuzuJjRKOvX5+c/nx6wUTv/SfCd1K7t7e9G3HXX9GNwxxyTH/4wX/5yVlYcnuW9uYfvpPZ3oHbsyDe/eWgT/sc/zubNfiKKD2Ih6J6mydxcHnssV1+dJHNzmUxy223ZvHn6X/B+rPAd027FPfFElpezb9/0gM13v5tt2/yGBB/OE6Rj2tfnl17Kvn3Tw7Nf/3ruusuHXlkVK3z3tN9C+4tf5FvfyoUX5pFHcvTRlndWRfAdtmdPlpZy8sk+5c5qCb6T/vVQjQM2rJ4psJPawtvXarWzeoLvMKlzuAQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChkL8DpnGvGX23YMEAAAAASUVORK5CYII=", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKXklEQVR4nO3dXYhcZx3H8d+Z2W7pRX2LuSnFtEWhqUJooY2QBKJYUKskLSJYEMFYCw2mvtMgpKBoEAQxvdI73/D1xpdiDZGkWpqCgtBeVLEJFaTSYEm3MV26O2eOF2e0UNp0E7XbM//P5ypkbw7MfOf5n2ees9t0XReghtF6XwDwyhE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KGQhfW+AP4XVlfTdWmaXHTRel8Kr2pN13XrfQ38d/rUYQ2M9AM3naZpcvfd2bUr+/cnSduu9zXx6mWkH7K+9r/8JV/7Wp59NlddlSRGNl6a4Ies6zIa5dFHs2FDXvOa7N2bJCNTGy/JPfzA9Tfwf/97jh/PLbe4n+fcBD9wbZuuy8JCYveOlyf4edG2GY/X+yJ4tXO/N0zTaZI88URuvz1f/WpOn1Y7a2HTbpj6uezhh/OtbyXJ9u3Zts1Iz8sS/DCNx5lMct99aZps3Zqrr17vC2IYjPQD1C/vp07lJz9J1+WWW7Jhw2zIh3MS/AD1c/sDD+SJJ7JhQ7ZvT/59CAfOSfCD9Z3vpGmyY0euuy5dZ9OOtRD80PTz/OOP59ixNE3e+c5cfHEmE8s7ayH4oemD//a3c/ZsLrss73737IAtrIFd+qHpV/ItW7J7dzZtylve4sgNa+ek3ZA9/XRe+9ok5nnWSPDD1HUmeS6Ad8xw9B/NS0t58snZl3A+rDlPgh+OySRJfvrTXHllbr01zz1nkud8CX44RqM891yOHs3yck6e9PsquQCCH4jJJONxHn00R44kyd69GY+N9JwvwQ9Evz/34IN58sls3JidO9f5ehgmwQ9BvyG/tJSf/SxNk/e/P5ddtt7XxCAJfgj60f3kyRw+nKbJ+96XxcW0rU07zpeTdkMwGmU6zQ9/mMXFvO1tuf76xGEbLoQVfiDaNr//fVZWsnNnLr88bevUDRfASbuB6Lo88kiOH8/11+faazOdOj/PBRA8FGIsHI629Xfj+C9Z4aEQKzwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IEX1fXzf4xna7rdfAKEnxdTZPTp3PmTEbeBWV4qSvqunRdzpzJTTflgx/M44/P/pO5J/iK+ra/8pUcP5777su2bXnooTTNel8W/38L630BvNK6LqNRjh7NN76R8ThNk5WVLC7OfiT7+WaFr6VPemkpd9yR5eUkmUxy6FCuu07tJQi+ln5D/vOfz5/+lMXFtG327MmHPmSjvoqms1dTRttmPM6Pf5wPfzhtm7bN1Vfn3ntz5ZWZTjMer/f18f8n+Cr62v/2t+zcmZMns7CQhYV8//u5+eZMJlmwmVODkb6E/lN9eTn79+fEiYxGWV3NRz6Sm2+efRBQhBW+hOk0o1G+97187GPpuqysZPPm/O53ed3r0jQO3hQi+PnXb78/9li2bcupUxmN0jQ5ciQ7d84+CKjDqz3/ptO0bT7zmZw6lcXFTKfZv1/tRVnh51xf9T33ZN++jMdp27z97Tl8OJde6ov3igQ/z/raH3kk27fn7Nk0TV7/+vziF9m61fJelNd8bvWf5GfP5s4788wzSTKZ5FOfyg03ZDKxthcl+LnVthmN8vWv59ixXHxx2jY33phPfnK2tgu+JiP9fOq/XT96NLt358yZNE02bsyvf50tWwzzpXnl51D/PNzTT+fAgTzzTBYWMp3mwIFs2TJb9inLiz+fmiYHD+aBB7KwkNXV7N6dO+5I4lBddUb6edN/2fab3+Q970nXZTrN5Zfn/vuzaVMSt+7VWeHnSl/76dPZuzerq7PgDx7MFVf41p1E8HOmbdN1+dzn8uc/z3bmb7stt96qdmaM9POj35n/wQ/y0Y9mZSXTaa65Jr/8Za64wuPuzAh+TvS1//Wvede7cuJEFhYyGuVHP8quXR5353lG+nnQT+zLy/nCF/LYY7PH3ffsya5daVu18zwr/Dzog//ud7Nnz+y30F5zTR58MJdemqZx987zBD94fe0nTmTr1jz11OxczbFj2bHDXh0vZKQfvOk0k0k+8Yk89VQuuijTae6+Ozt2ZDpVOy8k+GHrt9/vuSe/+lXG46yuZvv27NtnbefFGekHrN9+/+Mf84535J//TJI3vjE//3luuMETMrw4b4qh6p+QWVrKZz+bpaV0Xdo2d97pcXfORfBD1a/hhw7NHnefTnPjjfn0p2fPwwmeF2WkH6T+mM399+e9783ycpomb3hDfvvbbN5smOdcvDWG5z9/EPKuu/Lss7PH3b/85WzePJvz4aV4dwzSaJQvfSkPPTR73P0DH8jHP25nnpdnpB+YfmI/fDg33ZQkbZurrsqRIx53Z02s8EPST+z/+Ef27ctkkq5L1+WLX5w9D6d2Xpbgh6T/K+533fXCx91t1LFGRvrB6I/ZfPOb2bs343FWVvLWt+bee/OmN9mrY628TYbhP0lfckk2bszKShYXc/BgNm2yvHMerPDD84c/5MCBvPnNOXRI7ZwfwQ9Mf+RmaSkLC7nkErVzfgQ/PH3zcAEEP0j9i+Z7OM6XX3c2SFLnwrgFhEIED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQyL8ANy/AdabV0CIAAAAASUVORK5CYII=", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-8.322823972648145, 132.56698975213445, 7.069939150022748])</answer>", "action": "('move', [-8.322823972648145, 132.56698975213445, 7.069939150022748])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-8.322823972648145, 132.56698975213445, 7.069939150022748])</answer>", "action": "('move', [-8.322823972648145, 132.56698975213445, 7.069939150022748])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAG8UlEQVR4nO3dz4td5R3H8e9zz2iYFBTThS2uasQEuhFUkCAuQtKqG2NBCFroIunWtf9JXUUtVVwp2RRD4w9wU4stVju6knbRLjVKogiZcx4XZ3BVncwEvHP4vF6ry1k9MM97vs+5c+6d1nsvIMNq3QsAfjyChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyAb614AN2scaxx3Xg9DDcNaV8PB1nrv614D8CMx4Rds3K5hoy690f/wfE1Tm6b++3P9iSdX29u14QfL/2NfLNh8NrtwoS5erKo6dKg999xaF8SBJ/ilGscahvrkk/r7P9rGRvXeT5/qDz9svPNDbI2l6r1aq7feqk8/raoahnbmzJqXxMHnz3KL1HsNQ331VV2+vHPlzjvryd+0+Tp8H8Ev0jRVa7W1VW++2VerqqrTp+vIkaqq1ta7NA40wS/SHPnbb9fVq21+ff58+QMruxL88sx371eu1KuvTq3VONYvj40PPlitGe/sQvCL1Ht99K/64IO65ZbqvX53bjh0aN1rYgkEvzzzJP/TH6eq1TjW4cPT44/1Kkd6dif4hZmr/vLLeu21Np/nT59qv7jbUZ4bIviFmYO/eLE++7wNQ1VNT5ypw4drHN3AszvBL8wc/IsXxnm833O0nTghdG6UJ+2WZJpqtaqtrfrnR0PvVdVPnqxjx3auw65skyWZz+2vvFJXrlS12tyskyf7d9dhVyb8YsyPzV67Vu+8s3OwP368/erXHqdlD0z4xdjertWq3n23Pvxw58ojj9Qdd+xchxthpyzGfGi/dKlfu1ZVddttdfZsGe/sieCXYRxrY6P+8+8+fzyutTp+vD/0UPVuvLMHNsuSvPfX2trqw1C912+fWfdqWCDBL8Mw1Dff1J/faK2teq+fbE5PPdWqjHf2xn5ZgGmqqvrff/vrr4+rVU1TPfZ4/ezn614WCyT4BZjH+F8ut6tXV/NbdOfOr3r3aRn2TPDLcP16vfjC1Fq7fr3uuXt64P7uSRv2QfAL0Ht9/HG997c2DNV7P/v06shPm/HOPgj+oJu/vu6ll3pbtd5rc7OfOtXnO3lDnr3yaO2BNn+b1Rdf1Msvtz7VWHXixOq++6q8P8++2DUH2vzlNrfeWs8+W/feW1X16KN1++21vW28sx/+meRifP11vf9+3XVXHT3q87Dsk+AhiDGxJH45c5MEvyTu27lJgocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocg3wJt+At26MGf4wAAAABJRU5ErkJggg==", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "6709ef11f67c7749979aa7fb6462f867d0f226338ed8685271dc8e4598a6aff8"}
{"episode": 37, "episode_seed": 1257744943, "split": "val", "timestamp": "2025-09-16T00:38:59.107602", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x145549a674c0>", "max_steps": 10, "abs_size": 336, "master_seed": 10000042, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1257744943, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [1.7588194798392711, -0.19769694949655736, 14.546993073681335])</answer>", "action": "('move', [1.7588194798392711, -0.19769694949655736, 14.546993073681335])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAK5klEQVR4nO3db2hV9QPH8c+9d9c/ZUuTyiz0QbGslNSg9YeiYbZqpcl8YKUYRFRmapBRQfisoEHMPZCeqCll1MBwZkrQH8xaaYhkESVtkSiYWStnY7t/zu/B97gt6eevn+a5Z37er4fjXs/Z4H2/f84510wURQLgIVvpEwCQHIIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYKHuyhSFFX6JJJC8PAVRSqVlMkok6n0qSSF4OEoilQoKJNRLqdSSZ2dWrZMra2KIpXLyZ5KOF5Hh/bti8/sTCJ4eOlPPZ9Xb68+/liLF2vKFK1cqZUrdeyYstkEmw/LiXJZy5dryxZJKpXO6AEJHi76J/D5vLq79frrmj9fdXV69VX19Gj4cH36qdraJCU7w8/ltGWLNm7U+efHZ3kmVZ3Rfx2ouFBQWKjncvrlF61Zo82btWOHJOVyymRULKq3V7W1Gj8+2TPLZPTtt3roIUkqFBI4JsHjrBVm5tnjs9jOTrW0qK1NHR3xz8vleAZ9xx168knV1urCC6WER/hLL1V9vT78UNdd95fTPTMykc8VCdgol1Uuq6pKknp69M03am7Wpk3q7pY0sEq/4ALV12vZMk2fHr84DLpJCEcql5XNqqdHP/+siRMTOCzB46xSLqtY1LBhknT4sD77TKtXa/NmScpklM3GQ/pVV2nmTC1Zossvj9/YP/NPQqi9p0cjRyZyvAEEj7PE4FH9hx+0dataW7V9uyTl84oiFYuSdMstuvdezZ+vSy6J35X0dfgwqu/apaYmPfigGhrijYREEDyGvMHz8L17tX69tm3T119LUj4/sFCfO1eNjZo5U2PHSlKhoKqqxG+5CR8wR46osVHbt6umRrt369xzEzs+m3YYqvoH5xDt55+ruVk7dujAAUnxHTWFgvJ5PfywFi7U1Kk65xxJ6utTVZXy+cTPuH/Z8OKL8dzj+ec1cmSCOwcEjyEoXE4P+9nHjumjj/TKK/riC/35pyRlMvEl93HjNH++Fi3SxInxi4tFZbPxCr8CokjZrDZsUEuLJD31lBYujH+eFKb0GErCOjws1H/8UR98oJYWffWVNGjvPZ/XlCmaN0+PPKLRo+M3VmCtfoIwjO/dq7o6HTmi225Ta6vGjo0/BZJC8Bgawjo8l5OkL7/Ue+/ptdfU2SlJ+Xx808qIEbr9ds2dqwceiGfsie69n0Q4j64uNTSovV0XXaRt2zRtmkql+FdKClN6pF2IJXTx/vt6+21t3aqDB6XjqRcKOu88LVighgbdfXf8lpBS5VMPSiVVVWnFCrW3K59Xc7OmTVOxGM9VEkTwSKPwUEmY6oZoN2zQ+vXauVO//SZJVVUqFlUoaNw4Pf64Zs/WtddKxy/O5XIJD5wn1b8nt2CBdu7U9Om6//6K1C6m9Eib8PBYf66//6433tCqVdq3T319Ay/LZlVTo6VLNWeOLr44fmO6RvUThMvvXV0aPlwjRlTqLAkeaRHujelfe3/3nTZuVEuLDh2SBu3JVVdr6lQtXqw5cwbGyMrvyf03UaS+PvX2qro6br6iCB7pUizqk0/0zjtau1bd3fHTrGFsHz9edXVasED19QOvT/Aa9v8vFP7EE+rs1Msv6+qrK/6xxBoelRei/fVXvfuu2tq0eXNceNiT6+vTlVeqsVGzZqm2Vvrrdfj01h42Idas0apVknTzzZo8uVJL936M8Ki8UMFbb2nePEnKZpXJxNfhpk3To49qxgxdcUX8yvBYe9qF7YRdu9TQoMOHVVen1laNGSOd8QdgT44RHpUXEpg8WTU1+v77eCJ8661avlw33hjf+h76r+jo+I+FXceuLi1dqsOHddllWrVKY8emYQ0/JP5+OMtlsyoUdM01mjVL69ZpxgwtWaIbboin62GvbgiM6kGYMpfLeuYZtbdr2DA1NWnSpOTvsflbTOmRCmEZ39Ghvj5NmjTwQ6V5lf63ymVFkVav1qJFKpX09NNqakrP1iLBI3XSe43tfwqT9gMHdNNN+uknzZypTZs0YoSUls8tvrUWKRLuugmbdkNVuazRo7Vihe68U01N8XfapOb3YYQH/iUnzNv/+EOjRqVtrsIID/wbwjpk//544yGKVF2dwrkKwQOnrVRSNqudO3X99Xr2WXV1SYl+rcU/x5QeOD2h9kOHdNdd2rNHY8Zozx5NmJCenfnBGOGB0xCqLhT0wgvas0fZrNauTW3tInjgtIQb5tev17p1kvTcc5o9O17PpxJTeuBUhWF81y7NmKGjR3XPPXrzzfg7p9MaPCM8cEpC7fv367HHdPSoJkzQSy9p1Kg0D+8ieOAUhalxW5t279awYVq5Mn76NQU3zJ8ED88ApyQ89zZvng4eVC6n++6Lv6ky3VjDA6ct/F82Kbup7m8RPHAaBn+97lAwZE4USKMwqg+dUTPtSw4g7VI/jR+MER4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASP/AbX1ren1etA1AAAAAElFTkSuQmCC", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [1.7588194798392711, -0.19769694949655736, 14.546993073681335])</answer>", "action": "('move', [1.7588194798392711, -0.19769694949655736, 14.546993073681335])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAALEUlEQVR4nO3db2hV9QPH8c+9d3fOmqYFyrAseqBSPVGpyCCSyLVmYgSiRq6oMDLL5d/+aVgkaGaaJrWp0INFGeHCgVRQWDBwNEcGPSjE0qIsdWRs7v47vwfnMP35U39329123ef9eih6PD547/vnfM8xFgSBAHiID/YNABg4BA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPFAYQaB0WkEw2PdxSbGgyG8QuBwEgWKxwb6JPDDCA32VzSoW0x9/aOVKtbdLKt5xvmSwbwC4jAWBgkCJhFpatHChDh7UqVN6//3iHe0Z4YFeyuUUiykeV0ODZszQwYNKJlVXp3fflaRsNu+rSDp8WD/9JPX73IDggd7IZBSPq6NDq1fr4YfV3q5kUum0Jk3SdddJym+QD2cIuZyWL1dTk5T/z4leInigxzIZlZToyBHV1Oi115RIKB5XOq2qKjU16YEHFASK59lWIqGmJn36qa66SmKEB4pJOB6XlOibbzRrlj75RKWlymaVy2nJEn38sW68MdrDy+tasZh+/FGPPipJ6XT/3rokggfy171o/+ADzZ6tQ4c0bJhSKY0Yofp6vfWWysuVzSqR6MlFx41TZaXGjtXUqZLynhj0Es/hgbyE0/jOTr36qjZsUBBEi/aJE7Vzp6ZNi9bj+QYbDu+5nOJxdXbq+HFdf33//gMkETzwfwWBslmVlOiXX/TMM9q7V7FYVGtVlXbsUEVFtPTO92lcWHtnp4YP788bvwCm9MClnLtor67W3r1KJqO8ly3Tnj1R7eGPgLyEC4OWFtXUqLFRmcxAHtNhhAcuqvvA7Hvv6eWX9fffKi1VKqWrr9amTVqwIHqI3oN1d1j7iRN66CHt368JE9Taqiuv7Kf7/1+ctAMuLKw9ndbSpdq+PVrDp1K6+Wbt2qVbb41243tQe/e8/403tH+/JL34ooYPH8iD+AQPnK97++3YMT32mL78UvG4YjFlMpo1S3V1GjMm2m7rWafhRRsatGWLJNXWqqYm+vWBwpQe+C+5XHQ8/uuv9eST+vnnaDe+rExLl2rtWsXjUe09Ew7jhw5p+nSdOKG779bu3brmmp7s7BcAwQNnhUvsWExbt+qFF/Tvv9GivaJCGzdq3jypd2/ChpW1t6u6Ws3NGjNG+/Zp8uSeP7XvK6b0QCQcazs6tGyZtm+XpERCqZSmTtW2bbr9dmWzPZ/Gh8LHemvWqLlZyaTefluTJ0e7AgOL4IGzi/bDh/XEE/rqKyUSyuWUzWr+fK1fr3HjlE4rmezt1cMfEo88ogMHNGWK5s0blNrFlB7onsZ//rkWLtSRI9E0Ph7X2rVavjw6Ld/XqXe47m9v17BhKisbrDfmCR7WwpKzWW3dqlWrdOaMhg1TV5fGjtWWLZozR1Kvtui6BYFSKXV1aeTIvl2oMDhpB19h7SdPatEiLVmiM2dUWqquLt1xh/bu1Zw5PT9Xc55w8vD885o7Vz/8IA3+t69Yw8NUWPuhQ3ruubOL9lRKCxZo/XqNHdvnaXy4K7BzZ/QFnDvv1C23DNbSvRtTetjp3qLbs0e1tTpyJJrGh0fgli1TSUmfaw//fEuLqqv111+aPl27d2v0aKnfX4C9NIKHl+6S33xTa9aooyOqvaJC27bpwQd7+JbrBXXvz91/v5qbde21+uILTZpUDGt4pvQwEj5aO3VKK1aovl6xmJJJdXVp2jTV1emmm6In7X2qMhxBczmtWKHmZpWWasMGTZo08GdsLojgYSF8yzWZ1Pffa9EifftttDmfTqumRu+8oxEjohO1BfibgkA7dmjnTkl69lnNnVugSxcAU3oMfecu2hcv1rFj0fH4K67Q6tVauTL6PQV4NB5O2n/7TdOm6ddfde+9amxUWZmU/8cx+heP5TDEdX+Ibt06zZ9/tvYbbtBHH2nlSmWzBX0/NZfTqFFas0b33acNG6Jv2hRH7WKEx9AWlnzypBYvVkNDtDjP5XTXXaqr04QJymSUSBSox/N+bPzzj8rLe/IpnIHACI+hLBZTa6tmzFBDQ/SkPQj0+OPat08TJkT7aIXpMZxIHD0abdoFgUaO7O2rNv2I4DFkhenV1uq776Lz8KNGaeNG1ddHn5kpWO3h5v6BA7rtNq1aVcz/oSRTegxZ4RS7tVVVVTp+XBMnavNmVVaefVumMMLa//xTVVVqa9Po0Wpr0/jxxfk/SDPCY8iKxRQEmjJFmzZp5kw1NqqyUplMQWvv/vDdK6+orU3xuHbtKtraxQiPIS98Unb6tEaM6IeT7OHV6+v19NNKp/XSS3r99WI4UXcxBA8XhT/qFg7jLS265x6dPq2ZM/Xhh9E3p4tyeBdTepgo/FG3sPajR/XUUzp9WuPHa906lZdHOwTFiuBhofANhlPjzz5Ta6tKS7V5c/T2a3Ecob0YztIDvRKu0ufO1e+/K5HQ7NnRlyqLG2t4oM9SKZWUFNuhugsieKAPCvD2/IC6bG4UKEbhqH75jJrFvuQAil3RT+PPxQgPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8ICR/wAuzfnbgeF3RAAAAABJRU5ErkJggg==", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [1.7588194798392711, -0.19769694949655736, 14.546993073681335])</answer>", "action": "('move', [1.7588194798392711, -0.19769694949655736, 14.546993073681335])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAIdklEQVR4nO3dTaxcZR3H8f85M3N5CS6MC0DFREKIdaUbEmNEMAjRlmhCNRCLGhugoUVebJOi0aRhqwkmEi0QG6EKhBWgCwILUFGDJpSYEELC68ryYlu7gHZmznExDSrUmpbemVt/n8/yzmLO5nv/z3nOMzNN3/cFZGgXfQHA/AgegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggeFq/vq+/n8UbDebwJcERNM6c3MuFhkbququrFF+v556tq2ee84GGR+q6q6gff7379UFdVk8nyvp3gYWG6rgbDevCBfucv67T3zSNGwcNi9H21bT33XF1/fTVNO5/beJt2sAB9X01TBw7U1Vd1L73c1vLfvc+Y8LAAs726rVvr8d82p5zyr78sN8HDvI3HNRjUzp11223Vts2bb9YZZ/Sf/EQ/W+Qvq6afz0oCqKqq6bQGg3rmmVq9un/55WY0rK6vHTtq3bpDLy0rEx7mp+uqaWrf3v7aa7qXXqrhsA6Oa+PGWreuum7Zay/Bw9zMFtNNU7fc0j/++2Y4bMbj+vSn+m3bajqd02E7S3qYk9nO/P3317qvVV81HtcH3j/93RPtqlXN7KU5MOFhHmaL+WefrQ3XTA+OZw/hu5/+rF21qpm9NB+Ch2U3W0bv31/f+kb39z2DpaWaTGrLlvYrX51r7SV4WG59X9NpVdX3vtv/8cl2MKiDB/vPfqbbvLmfPXufZ/Du4WF5zR623XNPv359M53WZNKfeXr/6KPNxz7ezOE53DsIHpbRLOldu+rii+v116ttq23rrl/U5VfM46n7u1nSw3KZnZzbs7duuKFee61Go5pOa9PG7vIrajJZQO1lwsPymc3wG2/ob/1xMxrVeFznn1+PPFJLSwu7JMHDsui6atvaeXd35ddrMGinXX3og/XYY3XOOTW3p+7vJng4/maz/eld/YUX9vv+0bZtjUZ19139ZWvnd8bmsNzDw3E2m+179tTGTbVnb9u2NZn0126YfunLzXi84Gsz4eF46vtDH4O5blP3k9uak09u3nqrv+hz/UO/aU5aavpa9g/AHpng4XiaTGo4rJ/f2a2/qh8MBtNpnXVWPfxwrVp1aPIvluDhuJkl/dRT/Re/ULtfbYbD6qb9fffVZWsXcMbmsBb9Dwf+X7x9YH7DhuZvu5vBoMbjbst3utlG3UqovUx4OF5m2+8bNtT27TUc1mRSl1zSP/BAMxotfiX/thVzIXAim0yqaerOO2v79hqNajKps8+uW29tTjpp0Vf2n0x4eK9m9+d/+XOtubReffXQPL/33lq7tsbjGo0WfX3/xoSH92T2EG7f3v66Td3u3f3SUnVd3XxzrV1b02kNV9gvPwgejt3sqfvBA/3mzd2fnmyGw+bAgfr8Rf3WrYd27Bd4qO6wLOnh2M026nbsqKuvrqap8bjOPL174g/tR89e5IH5IxA8HKNZ0k8/3V9wQe3b11RV33cPPVhrLm1Xwhmbw1qRFwUngqap/fvrm1dO9+5tRqPq+9q2rV3JtZcfk4RjMLt1b5r69nXdrr8OR6M6eLAuXd3fdNOCPwz3P63Uf0Swgs125m+/vX51TzsY1nhcH/nw9Ic/qtNOqzl/C+3Rcg8PR2e2Yn/jjTrvvHrhhRqNammpv+/eWr1mpRyYPwITHo5O01Tf16mn1h131Lnn1nhcN97YrF7TLOpr6o6KCQ/H7pVXaufO2rLl0AGblbyYnxE8HKOVvBv/35xo1wsrRtvWCTcuBQ/HbuWv4d9B8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BDknz7Y7nTuSzAZAAAAAElFTkSuQmCC", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "37cb328e060beb2b4cfe271c779782fc2eb10bd2796443b345207def8112ad55"}
{"episode": 38, "episode_seed": 2630196044, "split": "val", "timestamp": "2025-09-16T00:38:59.726807", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x145549a674c0>", "max_steps": 10, "abs_size": 336, "master_seed": 10000042, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2630196044, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-56.09822924304379, -41.383499432717066, 34.51749922731678])</answer>", "action": "('move', [-56.09822924304379, -41.383499432717066, 34.51749922731678])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAALDUlEQVR4nO3dW4gW9QPG8Wfew3rITS9M8qKCjCTL1lASTegkViIhlXTEuilQNjUVY81tD0qrtR02yNryIlDoRGmYRt4YpUFFELmyWVKBB1KibEuq3Xdm/hczvmpq/QtpnXm+n7vV92Jw/c7vML/ZDeI4FgAPhf6+AAD/HYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEj8wIQ4Vhf19ExgVxHPf3NQB/L44VBJIURSowTv1b/MvhTJcMSUGglhZ1dKS1x7EYqv4FRnic6cJQxaI2bdKMGSoUdMcdam/XyJESo/0/R/A4oyUz+YMHNWWKvv5a5bL6+nTeeXr6ac2cqWJRfX0ql/v7KrOD2yMyoFzW9OmqrVVfn2pqtGePbrtNc+fqm29ULisMFUX9fYkZwQiPM111u+7dd9XSoo8/VqGgQkGVisaO1SOP6Pbbj/sY/gLBIwPiWGGoUkn796ujQ48/Limd3g8YoHvu0cqVGj786PYeToXgkRmVikolSdqyRfPn68sv0x27KNLo0Wpv14wZ6ZdBQPYnxxoemVEqpWv1adP00UeaM0cDBiiKVFOjXbt0882aP18HD6pQUByzqj85RnhkT3W5/tZbampSV5eKxTTyyy/XypW66SbpmBkBqggeWZX0vG+fli9XZ6cklUqqVFQo6KGHtGSJRozgod2fETwyrDqGv/mmli7VV1+l0/4o0vjxam3V9OkSG/jHIHhkW7JWLxS0b5+am7VmjSTV1Ki3V7W1euABtbZq8OD0kxzLI3hkXrJ6T5bxb7yhxYu1Z48KhfReUFen557TVVdJrOoJHrlRnbfv36/Fi/X66wrDdKgvFNTYqPp6DR+uSkXFou8Mn+CRK9V5+8svq60tXdWHoeJYV1+t5mZdc036pp3n9J7gkTdRpDhWsajubrW1ae1a6ciqftgw1dersVE1NaY7eQSPfEoeyPX26rXXtHixDh5UsZj+wJzJk/XUU5o4UfLbySN45FbyIr2kb7/VwoV6+23F8dEN/IYGLVigQYMUhgoCl+wJHnl27HJ99Wq1tWnvXpXLqlQUx7r2Wj3xhMaPl465O+QbwSP/qtnv3Klly7Rhg3TkWF5trZqaNGeOBg+2OJZH8HCRjOFhqOef14oVOnAgnd5Lmj5dTU268sr8v2BL8DAShioUFAT64gstW6aNG6Uj79WPHKlFi7RokaQ8Z0/w8FI9lvfbb3rpJTU2qqcnbV7StGl69lmNHi3ldFVP8HBUfRrX1aV587R1q6R0wj90qFat0uzZGjQoh8fyCB6mqvP2ONbKleroOG5VP2uWGhs1dmz/XuPpR/CwVv15WNu3q7VVW7YoCFQqqa9P55+vhgbdfbeGDJHysqQneLiLY1UqKpd16JA6O9XUpD/+OLqq//RTTZiQn3O4HseLgFMLgvQozrBhevhhffihJk1Ka589W2PGpJ/JB0Z4IFVd1ff2qrlZmzZp/XpdeGGuztsTPHCc6uz9999VU5Of1BMED5xEbhbtf5Kv2xdwmiSP6/KH4IGTY4QHkG0EDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwePUKhWFYX9fBE6nUn9fAM5IcawwVKkkSVGUt1+SboxvJE6Q/G70UkmdnVq3jtrzhBEeJwgC/fyzGhr04osKAo0apUmTGOfzgeBxjChSEOiDD/Tgg9qxQ5LGjdOQIVJOf1u6H+7ZkOI4XbQXCnrySU2bph07NGSIFi7U9u0aOza9ESD7GOHtVWOOY0kaNEi9vbrsMi1frpkz088wmc+LIE6+zfCUrMzDUEGQZh8E6uzU9dfrootUqaQb9cgLgneVfN+DQN3dWrBAEyeqtfXoH0rUnksE7yeOFUUqFiVpzRq1tGjvXp11lt5/XxMmKIrSYZ9pfB5xC7dULGrvXjU0aN06SRoxQo8+qnHjFMeknm8E7yQ5URMEWr9eS5Zo925JmjpV7e2qq+vvi8N/gXu5jWTtVqlo6VLdeqt279bQoVqxQu+8o7o6zsybYIQ3kAzsOvIE7sABxbEmT9aqVZoyRZLCMF3SI+/YtMu1aupJ0smXv/yitWt1yy0699z0sA2Hamwwpc+vSiUt+bPPdN11euUVBYGiSLW1mjs3rb1YpHYrjPA51denclm//po+eDt0SKNGqatLAwemT92qgz+csIbPoyhSuazPP1dLizZskKSLL1ZDw9GzdOJlGFOM8PlSHbdfeEGrVum77yTpzjvV2KhLLunXK8MZgRE+L5I33goF/fij6uv16quKY51zjlpbdd99GjgwneTDG8HnQrL9lpyKHTpU33+vONbUqero0Jgx6QeoHUzpM696ML6nR2efnW7IdXdr40YtXJi+/cL+HI4g+Cyr/tipzZu1erWWL9cVVxx3iobUcTym9JmVhH34sNra9MwzOnxYPT3aulWSokhxzDN2nIjgM6tY1CefaNEibdsmSZdeqqVL03dj6BynwEm7bApDtbfrhhu0bZtKJd1/v7Zu1Y03ck4Wf40RPlOSNfkPP+jee7V5syRdcIEee0x33XX0b4FTI/isiWP99JN27pSkWbPU1qZRo9LX4Kgdf4dd+qxJhvH33tOuXZo3T+LlVvwDBJ9B1al79XQd8P/h/0oGJW+5VioSPzEe/wwjPGCE8QEwQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASP/AxcxI6ISiqdBAAAAAElFTkSuQmCC", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-56.09822924304379, -41.383499432717066, 34.51749922731678])</answer>", "action": "('move', [-56.09822924304379, -41.383499432717066, 34.51749922731678])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-56.09822924304379, -41.383499432717066, 34.51749922731678])</answer>", "action": "('move', [-56.09822924304379, -41.383499432717066, 34.51749922731678])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "e63faa55e0d9319371b9c283137b6a2d3a88c0da0da55deab71637993cc3d81e"}
{"episode": 39, "episode_seed": 3297513124, "split": "val", "timestamp": "2025-09-16T00:39:00.700530", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x145549a674c0>", "max_steps": 10, "abs_size": 336, "master_seed": 10000042, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3297513124, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [4.327863603859789, -1.2665021449189686, -15.135129440314378])</answer>", "action": "('move', [4.327863603859789, -1.2665021449189686, -15.135129440314378])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [4.327863603859789, -1.2665021449189686, -15.135129440314378])</answer>", "action": "('move', [4.327863603859789, -1.2665021449189686, -15.135129440314378])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKwklEQVR4nO3dX2jVdQPH8c/5HTcWKdkyF6Gri3JG/9Q0SSsjcagRbcvSGItuxIzsqiAvgrwoojuNAgmplWaNFBtGRqnT6UUrciU2F0TbhbQU2aKidDvn18X395yj0+d53F/P6fN+4YU7O9vOxXmf75/fdzupOI4FwEN0uR8AgPFD8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCnu4ONYcXy5HwRQPCZc7gcwIqmUpHzz4UMA/01xj/Dt7erqUiqV/JOUzSqbZdgHLq64g1+3TnfeqeXL1dSkU6eUzSqKFEWSNDCgbPZyPz6gwKTiIhwN41iplNrbNWdOfjC/+mqtWKHaWt16qyorkxv7+5VKKZ1mtg9IRRp8GMnfeEPPPZfcUlKiTCYZ0quq9MgjuvdezZ+vqVMlKY6VyeQHf8BWUQYfdHfr8GEdPKjdu3XihCSl04oi9fcnd1iwQAsWaMkSVVcnt2Sz+dU+YKiIg885flzt7dq5U598orNnJSmK8lfsyst100168EGtXKlZs/JfFe4w3v2Hx8RLDi6TIg4+bMhP+M+FxTNn1NOjzz9XY6O+/VZ//z34/lddpRkzVF+v2lpdf33+CzMZpVLjMtsPLzDn/gcYX0UcfJAbyc8t9scftX27mpv188/q7R38JaWlWrxYDQ2aP1+VlUn5YQsgLArG0LFjqqzUpEk0j8ui6IPPuehkuaVFzc366isdOaK//pKkCROSPTxJ5eWqq9OSJZo9WzffnHxJf7+iSOn0aD+4bFabN2v9ej39tF59NZmc0DzG178n+HOFvnIT9d9/1759am3V3r1qb0/uU1qaLPgl3XKL7r9fDzyg6mqVlyffYZRX+JmMGhq0fbvKyrRpk1avZgsR4+/fGXxOmKiXlCQfdnfr++/15Zf66CP9+qskRZFSqWTALy3Vbbdp7lzV1mrp0vO+z0j32sKLR1+f6uq0f78mT9bHH2vx4uF+O2CY/uXBB2F7L5zACR/29KitTVu3as8e/fnn4PtPnKhp0/Tww6qv1+2351f14dBueI0YzoOIIh0/rhUrdOyYKiq0Z49mzWIxj/FkEXxOKPbc9fnJk9q1Sx98oI4OnTw5+P7ptO64Q089pepqTZ+uK69Mbh/mOr+/XyUl2rdPjz+uvj69+abWrEleCIBx4RV8zoVT9M5ONTVp71798INOnUo+G0XJbD+KtHy5amt11135MX8453YzGaXTeu89pdOqr09ukUZ7kxC4ONPgzzVo2D9wQPv369AhtbQkMZaUKJtN/l9Roepq3XefFi3SjBnD+nm5OXw4CRxePJjYY1wQfCIknbsO39urI0fU2qodO3T0qCSlUpowIX9ut6pKc+Zo2TItXaprrx3iD8tkFMfJAYBNm3T2rJ5/XiJ7jDmCP0+4RB/H+Y39nh51dmrnTn34YX6Rn0oli4LSUr34ojZs0MBA/ujeJQlL96YmrVypKNK2bVq1ivU8xhpPr/OEYTzM4QcGFMe67jotWqSNG/XTT2pu1qOPaurU/Pw/jjVz5nB/WBxr7lzdc4+yWa1erQMH8nsGwNhghP8/LtzeO31aO3Zo9259842mTdNnnyVndYY8GQ9LiO++U02Nuro0fbq++EJVVcntwBgg+CEIx+9yk+62NvX1qbp6BDPxsBJoaVFNjX77TbNnq7lZ06Yxt8cYIfghC+d2cwf4RrrRFsbz7dvV0KBMRjU12rJFkydLonmMOp5SQxauvYe/sRN+tXZE0mllMnriCb3yiiTt2qUtW5Jf6AdGGyN8YQjzhDVr1N2txkZVVHAgB2OB4AtJHOvMGZWV5fftWMxjVPFkKiSplMrKJCmdVleX2toURfy1bYwigi8wIe/Dh1VTo7o6HTvGxXmMIoIvVEeP6sQJrV2rX35JNvaAESP4AhP25xcu1LvvKorU2qoXXtCZM+zbY1QQfOEJF/oaGvTyy0qltG2bXnopf3wfGAF26QtSONPX36+1a/XOO5K0aZPWrePX6TBCBF+owu5db68ee0z796u0VG+/rSef5EIdRoKnTqEKi/ZrrtHWrZo5U3GsSZOST/EajeFihC9s4QTO118rjnX33bx3DUaI4Atebg4fIh/0DlvAUDClL3i52rNZnT6t9ev1zDMaGOAEHoaBgaJIhDe+O3RIr78uSVOmJO9XxQYehoKnS5EIB2wXLtSqVZL02mt66y1O2mOoWMMXjzCe//GHHnpIBw9q4kS9/75qaob+BzThi+CLSmi+u1vLlqmjQzfeqKYmzZvHn8HDJWJKX1TCHP6GG9TYqKlT1dWlZ59VR4fSaS7O41IQfLEJB3LmzdPmzbriCrW16dNPJU7j4JIwpS9OYQ6/caM6O7Vhg6ZMkUbydtZwQfBFK7wDdrhcx8E7XBqCL37UjkvG5ZxiduHb4gD/E8EXM1LHELFLDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxj5B3BK3X2jjkyhAAAAAElFTkSuQmCC", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [4.327863603859789, -1.2665021449189686, -15.135129440314378])</answer>", "action": "('move', [4.327863603859789, -1.2665021449189686, -15.135129440314378])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAIx0lEQVR4nO3dTYydVR3H8f/z3JkBrAmgoEHTArEBlSWBBTExBBOFDeJLLbG+1CBoKYluME3whZXWaFJMtFAXqK1TBQIiEVQENPElhGiIiWHJngRNY2jn5d7nuLiTuLSUzp0Zf5/PbuZunkye7z3nOefMvV1rrYAM/UZfADA7gocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggp+d1jb6Cogn+FmYpt51NZn890eYPcHPQtfVqVO1e3ft319VNQyaZ2PMbfQF/J9rrbquXn65brutnn22qtrll7W7v9KvrtbcXHXdRl8fYYzw62sYqqpeeKGefbbm5qrvu69/o/v5z9r8/NpLMEuCX1+jUbVWu3bVt75Z4/HQ97W01H3py93zz6+9BLPUNTfd+huG6rva98Xh8APd3Fw3HtfOncPTT/eXXbY254fZEPwstFbV1cmT9ak99dhjdc45tbxc77tu+PVv+23bahiqN9NiJtxos9B11Yba9qY6dKiuubotL9fCQv3xz/3evbWyUmWjjlkR/Iz0fY3HtWNHHT5c77ykrazUaFQPP1wHDtQw1HiseWZB8LMzN1fjcV19Tffgj2vbtrXf3HdfHTlS00V7zbPePMPP2mRSo1E9+GB97nPV99V19eY31+Ji3XSTBTzWnRF+1kajmkxq7966994ahlZVJ07Upz81vPhidZ3NedaXEX4DTP/kw1D79tWRI2uL9u++YvzMc6N3vKOzaM/6EfzGGIbquvrXP+vWW9tvn+4WFmplpb3/fcMvftmff0HXmuZZF26rjdH3NQz1lrfW939Q77lysrJSo7nuD38c3bW/nTrVWjO3Z10IfsNMH+Z37uyOH+/eftFkmNTCQh1b7A8e7EajKpvzrANT+g02XbR/6sn24Zvb6rgfzdeobw880H3mMxbtOfsEv/Gmq3Q/PFJ3fKH6viaTmp+vp56qG25YezuAs8WUfuP1fbVWn7+9DhyoyaQWFmp1tfbsqX/8Y23aD2eLEX5TaK1aq+Xluu22WlxcO5N31VXtyV/Vjktt1HHWCH6zmC7Lv/pq3XJL/elPa81/6IPtp4t1wQVdleY5C9xEm8V0Yn/xxbV4vK7YOYzH7Zxz6te/6e65p5tu2ntn5o0T/CYyfWLfsb2OLXYXXjAsL9f8Qt1/f/vud5vgOStM6Ted6RP744/X7t21vFLVqrXh2NH65J5+PK45HzvKG2CE33Smc/ubb66DB1tX0w+37e+4vf3+uTY35wQeb4jgN6nJpO68s9t/57C62vq+Xjs12vPJ9ve/r23Uw5kxpd+kpsfpl5banluHXzzRz891q+O69tp65JHavt2BHM6Q4Dev6cP8iRN14wcnf3m+P/fcbmmpPvax+tGPats2B285E6b0m9d09n7++fWTY6PLL++WlmphoR55pO65p5V/reGMCH5Tm35Zxc6ddfRoXXhhraxU39ehQ+073x6mn4oJr4sp/RYwnb3/7Hj77N5uLfLJsHi8du3unbrldXGzbAFdV+Nx7b61+9pXh8mktVZD199+R/f755pFe14XI/zW0FpNJtV1dde+yeEj3fxCv7pSV17RHn203ntVZ9Ge0yT4LWM6e18d18c/Onn8l/1553anlur66+uhh+qii3xfFadF8FvJtOpXXqmbbhz++rd+fqFWV4ZP7Kpjx/q5+Y2+OLYCg8JWMj11+7a31U+O9du31+pKjUb9zx+qu7/STp60Ucf/ZoTfeqbj/DO/ax+5pf79WtdanXdevfRSXXrpRl8Zm54RfuuZ7sDf8IHuvu9Va7V9ez3xRF1yiRGe/80Iv1VNN+ePHq13vauuu26jr4YtQvD/D5yr5zT5OIWtbfp2rXZOk+C3Nqnzuli0gyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyD/AVqaHo8zmt9oAAAAAElFTkSuQmCC", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "33fe09e795ec7d172333f3323cee5c9dcec6ad4fedd14e55718bc3c45e3cc3f4"}
{"episode": 40, "episode_seed": 1821465257, "split": "val", "timestamp": "2025-09-16T00:39:01.331416", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x145549a674c0>", "max_steps": 10, "abs_size": 336, "master_seed": 10000042, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1821465257, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [55.93199891345076, -14.777943757110593, -34.41269479861161])</answer>", "action": "('move', [55.93199891345076, -14.777943757110593, -34.41269479861161])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [55.93199891345076, -14.777943757110593, -34.41269479861161])</answer>", "action": "('move', [55.93199891345076, -14.777943757110593, -34.41269479861161])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [55.93199891345076, -14.777943757110593, -34.41269479861161])</answer>", "action": "('move', [55.93199891345076, -14.777943757110593, -34.41269479861161])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAIYUlEQVR4nO3cQailZR3H8f/7nnOdGR3D2UxSi5xNOm6skAYy1FUYNpDQkBQUKMiYKTPdUdJCR+2OdkezpDAXDYja4CYJTF2kRIUuMhS0VTFmKk5BMaCC4z3nfVrc650JCtO0O3N/nw9ndTmLd3G/5/+8z/Oe07XWCsjQr/QFAP8/gocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggud9NAzV2kpfBEcRPO+XyaT6vrquqmoYVvpqqKqq8UpfAKtQazWZ1MxMHTpUd91VJ51UV1210tdEVVV1zZKL99QwVN9XVT38i3bH9+uXv+zWrq2nn64zzqjWlgY+K0XwvGeWe/7bX9sN17f793evvlpr1nSHD9e559bjj1fXLb1YKZb0vAcWp3rXVbW65562+4b25790VV3X1+HDdcopbdu2bnHsq31lCZ7/SWs1ndR4pqrq2efqumuGhx6pqn5mphYW6oRx27q1ze/tN21a4etkkSU9797iqdtoVAcP1r59tWdPvf56jcc1mVa1dtZZ7Zqr60tf7qvcvR8rTHjepem0RqOqqp//bJi/vX/iiaqqxcH+gfXD167odn6j37ixptMjh3OsOBOed2zxX6br6vnn66Yb2/6ftsML/Qkn1JtvVlVdeGFd9832qU93VTWZ1NhMOZYInndg+cittfrhncP8bfXSS/3iX4ahTj215uZq27Y6+eSaTqvrlt7MscPHL/+V1mo6XRrXv3+qds0Ov/p1X1XjmZos1Lp17YtfGL5z6+jDH6o6arXPscaE5+0tj+sXX6y7765bbxmmw9I+fFX7xMfb7hv7rVuX3mx/7lgmeN7G8n34/v01P9+eeabr+xqNa+HN9sGN7fLLu9ld3fr1R1b7HMsEz3+0PKuffbbm5uqBB6qq3tqcaxdf3Hbs6LZs6coa/vgheP6N5XE9mdTe7w4/uqt7+eWu75e+9Hbaae2WPfX5i7q1a2thocZja/jjhuD5F63VMNRoVK3Vb39Ts7PD757qqrrxuCaTWreuLrmkrr++Nm6sMtiPQ4LniOWAX3ih3fG99oM7a/kh2ap2zjnd3Fydd17VUUfxHF8ET9VR32CfTOr+e9vcnuGPfxr1o+q7mkzaaR/pLt8+3Tk7mpmxOXd8EzxHNueefLL27q0HHxyqlp+cG776ldq5sz/rY9Vatab245vgoy2n/sYbdfPNtW9fHTxY43FNp9XacObmmtvTbf1cNxrbnFslBB9qcb+976u1evTRuubq4bk/9FU1GtV0WmvW1K7ZNrurNmxw6raqCD7R8rM0Bw60PXPtJ/u6qm5xDd91df75NT9fZ59dVTUMfqNmVRF8luVH4l97re67d7jp5u6VV2o80w1DDdM6/aN1xdfryiuX3ln24VcdwQdZ3mB//LF22231yKPtqFO3Yfv2fseOdvrp3fJqn9VH8CkWaz90qG68Ybj3vvr7P/rxTE0n1Vrb8snavbtd8Nm+qhYWamZmpa+V943gIyzW/thjddlldeBAq+oWN+fWnzR8+1t12fZ+w4Yjz9ixivk+fITFT/X16+vgwRqNuum0+r5d8Jk2f3t/5uaqqmFaXa/21c+NWoS+r+m0tmypa6+t6bQ2b667f1wPPdyfufmtx2lG9ucimPARFo/WWqtLL60TT6yLLqpNmzpHboHcw4fy85KZBJ9l8Ry+7526hRI8BPE5D0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0H+CbQs/F5gO70fAAAAAElFTkSuQmCC", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "73fe1b3c13b5e8db53f14e7d7ea8bb9dbb0040456a8e5a89b4c313671b3f0c87"}
{"episode": 41, "episode_seed": 455307913, "split": "val", "timestamp": "2025-09-16T00:39:01.951662", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x145549a674c0>", "max_steps": 10, "abs_size": 336, "master_seed": 10000042, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 455307913, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-3.9237792811550367, 11.007548607745102, -27.80382551032211])</answer>", "action": "('move', [-3.9237792811550367, 11.007548607745102, -27.80382551032211])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-3.9237792811550367, 11.007548607745102, -27.80382551032211])</answer>", "action": "('move', [-3.9237792811550367, 11.007548607745102, -27.80382551032211])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-3.9237792811550367, 11.007548607745102, -27.80382551032211])</answer>", "action": "('move', [-3.9237792811550367, 11.007548607745102, -27.80382551032211])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKCklEQVR4nO3db6jedf3H8de5ztlZRJi22tYmGHkCsWxZqyjojhBC0ooEmd4I6U4GdcNMR7AIdqcbhpSe9LjdWNIf2J0wFiwyx+xOQYGBQWnD0DBNGDXnxLlzrtON6/ptzp9Z2Oa5zl6Px41z4+zi8L3z3Pv7+X6/n+s7tby8HKDDYKUPAHjjCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KzKz0AZwly8vjn1NTmZpa6aOBCTW1PEpl1Rkd9r9rezjM8nKmp9/II4LJt6om/Cjj4TBJ1qw5459OnMg//5nnnstTT+WRR/LrX+eKK3LbbZqHl1sNE344zOJiBoPMvOy/p+XlHD2at741S0uZmcl992V+Po8+mmPHxh/YtCmPPpq3vGVFDhkm0+RN+OXlVy7FB4PMzibJs8/mscfy5z/n8cdz+HDWrMl9940/9swz+d3vkuQd78jcXC69NO997/gsYPTXgJWf8K+xFB+FOhzmgQfyk5/kr3/N3/6Wp5/Os8+e/syRI3nb25LkT3/KAw/kkkuyeXM2bsyGDWecDgBJVn7Cvzz14TAnTuTw4fzqV9m8Odu2ZWoqg0F+8Yvs3n36Y7OzmZvL1q35wAdOV33ZZbnssjP+8uKi5uEVVjqJZ57J00/nD3/I73+fhx/Oww/nuecyHObDH84nPpF165Lkgx/M3Fw+9rG8//258sps2ZKLLnqVq3GnrueNlgNqh/9npU/pP/WpHDhwxm8uuCDr1+fKK3PXXdmwIUmGwww8IARnwUqPwc2bMxjk8stzySV597tz6aV5z3syN5e5udORDwbj0Z14rgb+Fys94R97LE88kXe9K+985xm30F77uRrgdVnp4F9ucfH0DbnBQO1w1q108MPheInuXB3OvZUOHngDufoNRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRRqDt3uAWl3B22VPuaLgh8Nx6k8+mRdfHH8dNlRpCX5pKYNBlpbyne9kbi779mVqSvDUqdgPP/rG6iNHsnNnFhaSZN26/OhHufpqb6mgy/k/4Ue1P/JIrrsuCwuZns5gkCNH8tvfJtbzlDmfgx+t0mdm8rOf5bOfzcGDWbs2S0uZmsq3vpVbbnFKT52V/prqc2ZpafyuijvvzM6dOXYsa9fmxIls3JiFhXzmM4n7c/Q5P9fwo9qPHcuOHbnnniSZmcniYj7ykezdm8svH1+xdz5Pm/Mt+OXl8fujDx/OF7+YgwczGIzP7a+/PgsLueACF+rodV6t4Udvl5uZyS9/mauvzsGDmZnJcJi1a7NrV378Y7XT7vyZ8KdKnp/Pzp05ejSzs3nppWzenDvvzOc+N74Vr3aanSfBj15m8eKLufnm7NkzXsMvLWXr1uzdm/e9T+2QnAfBn3o8/okncuONOXTo9Lsnr7su996bCy90iQ7GVvcafvSiqqmpHDqUq67KoUNZsybDYd785uzalX37cuGFWV4222FsFd+HH6U+GOTuu7NjR55/fnynffPmfPe7ufZae+PglVbrKf3oEt0LL+S22/K972VqKtPTWVzM1q25555s3WrRDq9i9QV/am4/+WS+8IU8+ODpRfv11+fb386mTTl5MmvWrOxhwiRaZWv44XA82x96KFddlQcfzOzs+BL9rl35/vezaVOWltQOr241TfjRzbbl5ezenVtuyfHj40X729+eu+7K9u3J/92fA17VqoljVPvzz+fmm3PTTTl+PLOzOXEiH/pQ9u/P9u3js3q1w2tYHRN+NLcffzxf/nIOHBhXPRxm+/bcfnsuvni86R14bZM+EEePxw8GOXgwn/50DhwYL9qHw3zzm9m7NxdfPN4tA/xHEz3hTy3I7703O3bk6NHxov2iizI/nxtuOOMzwH80ua0sLmYwyAsv5NZbc9NNp2vfsiU//3luuGF8xV7t8N+b0Ak/WpP/5S/56ldz//3jR2iWlnLttZmfz8aNBju8HhMXzalvsHjooWzblvvvHz8ePxzm61/Pvn3ZuNFgh9dpsib8qT3te/fm1ltz5Mh4T/u6dbnjjnz+8+69wf9kgq5uj+60nzyZb3wjd9yRkyfHtV9xRfbsyUc/Ov7CWbXD6zYpE35U+1NP5Utfyv79mZ4eX5Pbti179mT9enva4SyYlHE5PZ3f/Caf/GT278/MzPh5+K99LT/9adavt6cdzo6VD360LP/hD3PNNfnjHzM7m8XFbNiQhYXcfrs97XA2rfwafnSD7e9/zz/+kZmZvPRStmzJ3Xfn4x/P4uL4ZRLAWTERa/hR81/5Subnc8012b07mzaNazfb4SyaiOBHjh/PD36QG2/Mm950+kVRwFk0KcG//P0QnqKDc2RSgh/xWhg4pyZrkqodzqnJCh44pwQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRf4FUCeItQflQKQAAAAASUVORK5CYII=", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "4d8428d717a60d40c8009c070ba1121e9c6851ed4375fd3efed7137955572579"}
{"episode": 42, "episode_seed": 2542378040, "split": "val", "timestamp": "2025-09-16T00:39:02.572010", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x145549a674c0>", "max_steps": 10, "abs_size": 336, "master_seed": 10000042, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2542378040, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [6.342757115164638, -12.636281666088058, -12.416995623961744])</answer>", "action": "('move', [6.342757115164638, -12.636281666088058, -12.416995623961744])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAALMUlEQVR4nO3cW4hV1QPH8d8+54w6apaXwXyRQSFnDLEChSQyKItASzDU1LSyC120i0RBUC8SItVTISloplFKWMakUJQ2XUzBaArHHAsvWaQSOJWmec5ePeytYzbp6N/+55z9+36e5nIeNuz5zlp7nXVWFEIQAA+5cl8AgP8fggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARgsf/KoRyXwG6jOBxPkLQ7t3au1eSoqjcV4MuI3icm2Q8P3JE06ZpxAgtXKg9e8p9Tegygsc5C0HNzdq0SYcP68kn9cor5b4gdBnB49xEkaJICxakM/l+/TR9usSTfJUgeJyDpOoNG9TcrFxOpZImT9awYQqBJ/nqQPA4B0nwCxakX190kaZPV6GgOC7vdaGrCB5dVSopl9PGjdq0SVGkONaECRozRiEox99RleBGoatCUBxr0SL99puiSL16acYM5XIqFpnPVw2CR5cUiyoUtHmzPvwwHd6vvVbXX69SSYVCuS8OXUbwOLuTk/bXX9cvv0hSjx66+25168ZyXZWJAm+n4GxKJeXz+vpr3XijDhxQCBo9Wp99plyOp/cqw+3C2eVyimOtXq39+9PCH39chQJje/VhhMdZJH8gu3frmmv088+S1Niolhbl8+W9LpwPRnicXRRp9Wr99JPyecWxnnqK2qsVIzzOJFmTO3RIDQ06eFAhqKFBn36qfv1YrqtKjPA4u2XLtH+/8nmFoLlz1bev4pjaqxIjPM4kBB07psZG7d2rEDR8uJqaVF+vOGZ9vipx0/Cvki10ixenB11ImjJF9fUqFqm9WrFJCp1LHtHb27V8efrZmCFDNG0aj+7VjX/U6FyxqHxeb72l1ta08AkTNHRougkHVYrg0YkQlM+rvV2rVunoUUmqq9ODD/LoXvW4e+hE8knYjz7Shg3p4vyECbrsMj4JW/W4ezhdCCoU9McfWrZMxaJCUG2t5s2TRO1VjxuIzm3ZoqamdBf9xIkaPlziROrqR/D4m2QRPo710kvp1/m85s1TCBxTmQUEj060tGjtWuXzKpU0caKuuCI9rBbVjuDRiRde0PHjaeEPPZSWjwxg4w06JPP27dv19tuKIhWLuvVWjRrF4nx2cBvRIXmb/cUXdeSIcjn16KEZM9S7t0ol5vMZQfBIJe+979yppiZFkUolXX21xo1THLO1LjsIHqlkTX7RIh04IEndu2vqVF18McN7pvAMD0npadM7dqipKX37bdgwzZzJKdRZwwgP6cRy3Zo12rkzLfy++9Sjh8Rmm2zhAAyka3V79+qmm7RjhyQNHqzWVtXWSgSfLYzwUBQpBK1fr2+/VaGgEPToo+rZM/0VsoQR3l2yVvfrrxo1St99J0mXXqqvvlJdXbmvDP8BRnh3yRi+dq3a2tKPyjz8sAYMYOd8NjHCu0uW60aO1LZtiiINHKhPPtHQoZx1kU3cUmvJadOrVmnbtnR4v/NODR3KwXWZRfDu/vwz/SRsCKqr05Qpkthsk1kE7ys5bfq99/Tll+nwPmmSRozgmMosI3hTyTGVxaKWLEmPqRwwQDNmKJdjPp9lBG8qmbR/8YW2bpWkONbYsRozRsePs5c2ywjeVKGgONaYMVq7VuPHa/BgzZ2rKGJlPuN4Ww6S1NqaHlOJbCN4dyGkn3jn0d0BwUMS22xcEDxghP/qgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB/4DIZT7CjpH8MAFFceSFEXlvo7OETxwgZRKimPlcpL0ww86ckSquKGe4IELoVRSPq9cTtu36+mndeWVWrFCOjHgV4xCuS8AyIR8Xm1tWrlSy5Zp3z5J2rhRs2erUFAIlTPDJ3jgfCUlJ2P7u+/qiSfU1iZJ/fvr/vt1223pyyqmdhE8cM6Sx/IoSktOvq2p0b596tZNc+Zo9mw1NpbzCv9dFCpsUQGoXCGoVFKhIEm//66lSzVunBob06H+zTc1ZIhGj05fGcfK58t7vf9E8EAXhKBiUTU1knTwoD74QAsXqqVFN9ygdevSn58Uxx3jf4VhSg90QRSppkaHD+udd7R4sZqbJal7d/Xtq+PH0+BPTvVzlfvmF8EDXXD4sNas0cqVev/99CeTJ+uOOzR+vHRi9a4ih/TTEDzwDyfHap14g339es2cmf725ps1Z46uu061tZU8e+8UwQOnOHWxrVhUoZDGPGKELr9cNTV67jmNHauePdMX5PNVVLtYtAM6lErpE3ixqJYWPfus7rpLkyalM/Y9e9S3r/r0kSp6We7MCB74+yL855/r1Vf12ms6dkwNDdq8WX36dOyWO3W2X4WY0sNeEnNNjbZs0dKlWrVKhw5J0siRmjWrY29s9azMnQHBw9XJuW0Uqa1Nzz+vdev044+SVF+vxx7TLbeovr7j9VWeeoLg4efUJ/Dk6127tGSJJA0apLlzNWuWBg2STqzbZQjP8HASx4rjtOHvv9fAgerdW5La2zVnjnr10vz56t9fkkJQCJW8heb8EDw8nLost2uXmpr0zDO6917Nn69C4fSwK+kDrRcWwcPAyaX1Awe0YoWWL9c330hSY6M+/lh1dekLsjiknyZTzydAJ5Lh+uhRvfyy3nhDW7dKUvfuuuce3X67LrlEOrEgl9FR/VQEj0xLam9u1gMPqLVVkgoFTZ2qRx7RVVdlfjz/J6b0MHDsmNrbVVurfF5xrJ4909STffJOCB6WqnzD3HljSg9Lfqkn7J5hAGcEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxj5C/mqyhHWsYODAAAAAElFTkSuQmCC", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [6.342757115164638, -12.636281666088058, -12.416995623961744])</answer>", "action": "('move', [6.342757115164638, -12.636281666088058, -12.416995623961744])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [6.342757115164638, -12.636281666088058, -12.416995623961744])</answer>", "action": "('move', [6.342757115164638, -12.636281666088058, -12.416995623961744])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "e39062cc9682f21365af280d63bbeedd83189f2251bfac7d79e5e8adf0a8ec55"}
{"episode": 43, "episode_seed": 3631700461, "split": "val", "timestamp": "2025-09-16T00:39:03.574304", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x145549a674c0>", "max_steps": 10, "abs_size": 336, "master_seed": 10000042, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3631700461, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-5.761659760259911, -11.394592445525232, 37.11257499086938])</answer>", "action": "('move', [-5.761659760259911, -11.394592445525232, 37.11257499086938])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKqUlEQVR4nO3dzW8UZQDH8d/sLC0vpQ0gby0BoanVilLaogdMfCGaGP8GwolDY2IkcjCRg/GAMQbjH0AwJpIY0YsHY00AQ2qM0KWiaBNJS1HTkLpiVGit3Z3xMEtfVioUVna3v+8nTRO2s8s02+8+M8882wZxHAuAh1S5dwDA3UPwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMJIu9w4AC18cK44VRYoihaHCsGx7EsRxXLb/HFi4ksiTzsNQqco4mCZ4oDSKSgqCWf88f17nz+ubb/TEE3rmGcVx8QZ3B4f0wO1IRm9JQVBItyjgbFaZTOFjcFBXriib1fi4RkYIHqh4U4focaxUSqnUrGL/+kvj4xoe1unThY+ff9bEhMbHix/nq68URcWHA3cNwQNzSs7Ak8/p9Kzz8LEx/fqrsllduKBMRn19ymT0++/TG/x7AK+t1cqVWr9eY2OqqyvPIM85PDDLVORxrHR6VpMjIxoe1qVLunBB336r777TwMD0V1MppdPK55XPT9+4apXuvVebNqm5WVu3autWPfigamvv3rdThOCBwgF28nnmMD45qfPn9f33GhjQ0JAGBzU0pGx2eoNk2M/lFEXTN7a2qq1NbW1qadHmzdqyRRs23J3v4+YIHl6m2p6abCsyMqJMRv396u/XTz9pdFSjo5qYmN4geUWYWXh9vTo71d6uzk41N2vtWq1Zo2XLpjdIhv3ktL/o5P8uI3hYmFr0UhTb5KTGxzUwoDNn1Nen06f1yy+6du0Gk21T0mnV1GjTJj36qHbs0I4d2rhRdXVaunTWg+fziqLpwssY+UwEDy/Xrum335TNamBAfX06c0b9/bp69b/usnixVqxQQ4NaWrRjh7q61NWl1atvsGVy8p/kXSGFFyF4WLh4UV98oaEhff21zp3T0ND0l5JlcLncrEtla9eqqUkbNqi1Vdu26eGH9dBDN37kqXtVZuFFuCyHBS6fVxiqp0fd3dM3LlqkINDffxc2SLa5/361tqq1VS0tuu8+NTdr3brpu8Rx4Txcsyf2qqLzKQQPC1u2qLZWUaTJSUmFz/fco44Otbdr2zZt3KjGRjU2avHi6Xsl0+9Ty2zS1Z9L9X8HwC3YsEFNTfrxR3V0qLNTjzyi7du1bp3q67V8+awtk2P7pPAwXAiRz8Q5PBa4ZBZtfFw//KDGRq1adYM3riVLZSp5sq1UCB6mqmuyrVQW1vEKMLeitetWnU+pjHflA/8/z8KLEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHrPl88rny70T+L+ky70DqCT5vMJQkuJYQVDuvUHpMcLjujhWGOrECX32GbUvVIzwkHR9bD96VC+8oJoa9fWpqYlxfuFhhMcM69ZJ0uXL2r9fkqKovLuDkiN4SJLCULmcdu3S/v0KQ330kY4eVRjS/AITxHFc7n1AZUh+EsbH9eyzOnVKmzapt1dNTYqiwkweqh8jPK4LAsWxli7VoUNatkyXLunAgcIlOkaFhYLgMUMqpThWV5deflmSjh3TBx9wYL+QEDxmCwJFkfbt086dGhvThx/qzz8LLwSofpzD41+Sq3G9vXrvPR08qBUrlM8rlVKK4aHqETxuZmr5Haofr9mYQxwrigrL7y5f1pUrnMkvAASPOSRr7IJA77+v557TK68olaL5akfwmFuS95kzOntW77yjjz9WKqVcrty7hdvHOTzmlszeXb2qxx7TuXPq6NCnn2r1akURE3hViqcNc0uW4tTV6dAh1dTo7Fm9/rpyucK5PaoQweM/Jc3v2qXnn5ekI0d08qTSvMmyWnFIj5tJfkKyWT39tM6dU2enjh9XQwNvnq1GjPC4mWTt3erVeu011dQok9GbbxZuR7VhhMctSK7Jp1Lq7lYmo3ffVVsbI3w1InjcmiTvsTHV1CidLryLjhV41YbgMX9TY3sUKQgY56sI5/CYvyBQJqPdu3XypIKApThVhOsrmL/JSb34onp7NTKi9natWMFSnGrBk4R5imOl0+ru1qJF+vxzHT5M6lWEc3jMU3ICH0Xau1dHjqi+XidOqLOTSfuqQPCYv+Qd8hcv6qmnNDysJ59UT4/CkKG+8vEMYf7CUPm8Nm/Wq69qyRKdPKm33+bXYFUFRnjcljhWLqdcTnv26Ngx1dfrk0+0cyezdxWO5wa3JQgUhlqyRG+8ofXrVVvLxbmqwAiPO5CM58eP64EH1NioKCr81Qpm7yoVwaNEmKWvBhzS444lb60JAmWzOnxYf/yhOGYCrzKx0g6lEAQaHNTu3fryS8Wx9u4l+MrECI9SCAKtWaOGBkk6cEBDQ4VflYMKQ/C4Y0GgfF7Ll+vgQTU1aXRU+/aVe59wYwSPUkj+vPz27XrpJaXT6unRW28VVuCikhA8SiT5I7Pd3Xr8cU1MqL+/cDsH9pWEy3IoneTKXCajU6e0Z49WruRaXaUheJQUhVc2LsuhpJLJ+WQUYVF95WGEB4zwGgwYIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRv4BZ5asAbdnIzYAAAAASUVORK5CYII=", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-5.761659760259911, -11.394592445525232, 37.11257499086938])</answer>", "action": "('move', [-5.761659760259911, -11.394592445525232, 37.11257499086938])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-5.761659760259911, -11.394592445525232, 37.11257499086938])</answer>", "action": "('move', [-5.761659760259911, -11.394592445525232, 37.11257499086938])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKE0lEQVR4nO3dz4td5R3H8c+5dzIzMWOmCVjaZlFc1lVrurMgKhZK/wZx5SIIpVJBQRelC0sRpX+AWAoVStWNi1ILmiIpXbSx+AfU/gIRMZM4SeOvO/d0cW4m6Y/URufOM/d+X6/V5K4eMvO+33Oec869Xd/3AWoYtV4AsH8ED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPAcCNNp+j5933ody67r/R9DGSutFwCZTPK3v2V9PaNRjh3L2lrrBS0vh/S0NBxf/v3vOXky996bb34zv/3t1dfZcyY87W1t5cKFXLyYnZ188EGS9H26rvWylpHgae/cuXRdDh1K3+f48darWWoO6WlpGOPnz6fvM5lkOs3qaus1LTXB097WVpJMpzl82I7dfAme9s6fT5LpNJubgp8vwdPeMOGTbG46pJ8vwdPeuXOzH3YnvC36ORE87e1O+KNHTfj5EjztDefwcUg/f4KnvWuDX19vupRlJ3jau/YcfjxuupRlJ3gam0xy8WJGoyQ5ejRJplObdvMieJoZnpC5cOFq4ZubSTKdtlzVchM8jW1tXS385psTj8rNk+BpbGvr6mfdbGy0Xs2yEzyNnT+f6XQ25A8fTtx1M0+Cp5lhqg+PyiVZX8+RI21XtPwET2PDhE+ysZGbbkpM+HkSPM0Mg3130+7IkVnwzI/gaWz3NruNDYf0cyd4Gtt9cubIkVnwDunnR/A0s7tpN9g9pBf8/Aiexv5zwjM/gqex7e3ZDxsbOXTIfbXzJXja6PuMRun7fPjh7JVhvHtyZq4ETzOjUba3M5nM/rkbPPMjeNoYduzeey8ffzx7ZXg2lrkSPC1duJCPPpr9PDwq53h+rgRPG/824bvOhN8PgqelCxdmwa+uzj79woSfK8HTxjDht7dnh/Tr6yb8fhA8Le1O+LU1we8HwdPG7gfa7ewkydqaTbv9IHja2N20G6yvO4ffD4Knpd3gHdLvD8HT0rXBO6TfB4KnjeGbJ95/f/bPtbWsrs7O55kfwdNA32c8Tt/n8uXZK8NXynlyZt4ETwN9n67L5cv54IPZK8OOHfMmeJrZ3r464Y8fb7qUMgRPM//4x9Vz+M99ruVK6hA8DQwX4S9evDrhh+CdwM+b4GlgCP7SpdmEX1kR/D4RPM1cujSb8CsrOXas9WpqEDwN7D4qd+lSkuzsuK92n6y0XgAVDXfd3HZbHnkk587lo49y662t11RD1w9vtkABJjzN9H12x03XOZ7fDyY8FGLTDgoRPBQieChE8FCI4KEQwUMhgodCBM+/2tnxyXJLzJ12XGNnJ+NxcuUzqFg6JjxXDJ8s+eqr+fWv1b6sTHiSXJntzz2X73wnq6v5wx9y4oQ5v3xMeK7xhS8kydtv5+GHk2Q6bbsc9pzgSZKMx5lMcs89efjhjMd58cU891zGY80vGU/LccXwl/D++/nWt/Laa/nyl3PmTE6cyHQ628lj8ZnwXNF16fvcdFOeeipHjuSvf83jj88u0ZkKy0LwXGM0St/n61/Po48myfPP5xe/cGC/TATPv+q6TKd56KHccUcuX84LL+TixdkbAYvPOTz/Ybgad+ZMfvazPPFEjh3Lzk5Go9lHT7LIBM8n2b39jsXnPZvr6PtMp7Pb795+O1tbzuSXgOC5juEeu67Lz3+eb387jz2W0Ujzi07wXN+Q9+9/n9dfz09+kpdeymiUyaT1svj0nMNzfcPu3aVL+cY38sYbuf32/OpXueWWTKc28BaUXxvXN9yKs7GRp57K6mpefz0//GEmk9m5PQtI8PxPQ/P33JMHH0ySZ5/N6dNZ8ZDlonJIzycZ/kLefTf33ps33sjJk3nllWxuenh2EZnwfJLh3rtbbskPfpDV1Zw9myefnL3OojHh+T8M1+RHo5w6lbNn89Of5rbbTPhFJHj+P0Pely9ndTUrK7On6NyBt2gEz43bne3Tqe95XizO4blxXZezZ3PffTl9Ol3nVpwF4voKN+7jj/Pd7+bMmbz1Vr761Rw75lacReGXxA3q+6ys5NSpHDqU3/wmzzwj9QXiHJ4bNJzAT6d54IE8+2yOHs2rr+bkSZv2C0Hw3LjhCfk//zl3352//CV33ZWXX854bNQffH5D3LjxODs7ufXWfP/7OXw4p0/nxz/2MVgLwYTnU+n7TCaZTHL//Xn++Rw9ml/+MnfcYffugPO74VPpuozHOXw4P/pRvvjFrK25OLcQTHg+g2Gev/JKvvKVfOlLmU5n31ph9+6gEjx7xC79InBIz2c2PFrTdXn33TzzTLa30/c28A4md9qxF7ouf/pT7rsvv/td+j4PPCD4g8mEZy90XT7/+WxuJsnjj+fNN2cflcMBI3g+s67Lzk5uvjlPPJETJ/LOO3noodZr4r8TPHth+Hr5r30t3/teVlby8st5+unZHbgcJIJnjwxfMnvqVO68Mx9+mD/+cfa6A/uDxGU59s5wZe7s2bz2Wu6/P8ePu1Z30AiePaXwg81lOfbUsDk/TBE31R88JjwU4j0YChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KOSfgl5jV2hxdfsAAAAASUVORK5CYII=", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "dc48322f35432dc20559920142cd7445dfe932bb19c7469342113d4daa5a5cb0"}
{"episode": 44, "episode_seed": 738763825, "split": "val", "timestamp": "2025-09-16T00:39:04.180661", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x145549a674c0>", "max_steps": 10, "abs_size": 336, "master_seed": 10000042, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 738763825, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-5.657991610320617, -0.553105428068556, -36.298588230840515])</answer>", "action": "('move', [-5.657991610320617, -0.553105428068556, -36.298588230840515])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-5.657991610320617, -0.553105428068556, -36.298588230840515])</answer>", "action": "('move', [-5.657991610320617, -0.553105428068556, -36.298588230840515])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-5.657991610320617, -0.553105428068556, -36.298588230840515])</answer>", "action": "('move', [-5.657991610320617, -0.553105428068556, -36.298588230840515])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "d5c8fdf3acaf2838c26befd1c0d9ac97b314460a8556b7628ddf84db456dd3a0"}
{"episode": 45, "episode_seed": 1574718956, "split": "val", "timestamp": "2025-09-16T00:39:04.786551", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x145549a674c0>", "max_steps": 10, "abs_size": 336, "master_seed": 10000042, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1574718956, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-31.094377199467317, 42.772191956841304, -43.63677133374046])</answer>", "action": "('move', [-31.094377199467317, 42.772191956841304, -43.63677133374046])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-31.094377199467317, 42.772191956841304, -43.63677133374046])</answer>", "action": "('move', [-31.094377199467317, 42.772191956841304, -43.63677133374046])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-31.094377199467317, 42.772191956841304, -43.63677133374046])</answer>", "action": "('move', [-31.094377199467317, 42.772191956841304, -43.63677133374046])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKzElEQVR4nO3dX2iV9QPH8c/Ony3X0lbTmTOXSkV3VhBCCUI1GjGU9GqkSVaIFkGRVlARYUJdlCYlGE3KMiitLmJeJAWGtQujG4mSYhN1OnNbmtvcznOeLp7n5/TX5qbN8+/zfiFy2BweDud9vn/Os+8pC8NQADwk8n0HAOQOwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMBIKt93oMiF4fCfsjIlk/m+Q8DFEPyliKqOBIGCQMkkkaOIlIVhmO/7UJDOf1ii24lRlj/d3Tp2TIcPq7xcCxfm4K4Bl80v+H+XXFY2PG5fRCajnh5NnRqP87t26YMP1NOjU6d0+rR6ejR3rn76SdnsqC8NQL6V9JQ+WlrrwqTPb3u0zru71d6ujg51dOjQIbW3q71dx45pzhx9/70yGaXT+u03ff318I8kEurpoXYUuBIKPgyVzQ5voSUSSqVGTnpgQP396utTX5/OnFFnpw4e1O23a8GC+AVi+fILYj6nslKnT6uqSpLmz9eiRaqvV329Zs2Kb1A7ClsJBf/vTfIwVE+Pens1daquuUaSenq0aZP++ENHj+roUR06pL//jv/xww/rnnsUBEqlVFurykrdeKOqqlRdrepqTZ+uGTN0yy3xi0gYauFCVuwoOiW0hu/t1cGD6uzU8eM6flwnTujPP3XihLq6tGGDGhslqaNDt96qs2eHf+rqq1Vbq5oaNTXpxRfjyf/PP+vwYc2erZoa1daO/N+FoYJgeLFw/t9AoSqJET5aObe16bHHdPKk+vv//x/8+qsaGxWGqq7WM8+ou1uzZ2vGDE2bpsmTNWWKJk9WdfXwhHzePM2bF98OQ2Uy8UZdWZlS/3vEzr8NFImSGOGjGn/4QXffLUmTJqmuTnPmqL5eN92kujotWKDZs+P1+eCgkskxWg2C4cLHuYcPFIOSCD5y5oza2jRzpmbOVEWFEokxQs1mlc1eMCcnbJS6Egp+nM69UQf4Ka1V6HhiJnUYK633jYthWu42o0JBKa3gC965374he+QFwedOVHtfn6T44h0gxwg+R6I3BP76S0uX6uWXL/hFWyBnSmvTrlBFV/cPDWn1arW2qrVVnZ167bX4Kj7KR84wwudIMqn16/XJJ0qllEjos88uuDAXyA2Cv+KiyfyOHVq/XsmkMhmlUvr8c9XVsYxHrhH8lRUESiT0449avVqZTDykb9yo++6LXwiAXCL4KyibVTKpI0f06KPq7VVFhTIZPfusVq1i0w754Xdpba5EG3WnTmnpUu3Zo3RaQ0NqatL27fEJGhyWgdzjSXdFRLUHgV54QXv2KJnU0JBuu03vvKPJkyVqR57wvLtSEgm99562blV5uYJA112njz9WfT3H3iGfmNJPvOi4+tZWLVqkTCb+4q5dWrw4/haQL4w1EyxK+sABrVihoSGl0yor05tvavHieA8PyCOCn0jRdL2zU83N6upSOq3BQa1cqaeeUjab7zsHMKWfQNEZ2X19euQRffGFUillMlqwQDt36vrrJTbqUAB4Dk6M6GUzmdSGDfryy/gt97lz9dFH8WfVUDsKASP8xIiW7tu26fHHJSmTUVWVWlvjo+5ZuqNAEPwEiJbu332nBx7Q2bNx3i0tWraM2lFYmGj+V1Htv/+u5ct19qzSaQWBnn9ey5YpDKkdhYUR/j+J9t5PntTixdq3L96oW7JE27ervJzffkXBYYS/fNFLZRhq3Trt26fycmUyuusubdmiigqJky1QeAj+MkWfVZtI6I03tG2bKio0OKhZs9TSopoarp9FgWJKf5micyx27FBzsxIJhaEmTdKnn6qpKf4WUIAYhi5HNqtUSm1tevJJSUomFYZ6/XU1NSkMqR2FixH+kkVnVxw5ovvv1y+/KJlUEGjNGm3ezLEWKHQEf2miR2tgQA89pN2742MtGhu1c2f8AZZAIeMZegmiYy3KyrR2rXbv1lVXaWhId9yhrVs1aVK+7xwwDgR/CTIZJRJ66y1t3qxUSgMDmj5dmzapri7+FlDgmNKPV7T3/tVXam5Wf3+c94cfqrmZbXkUDUalcYn23g8c0NNPq69PqZSCQK++qubmeMceKAqM8GOL1u3d3Wpo0P798fWzK1aopYULbFBkeLaO4dw7bU88of374+tn771Xb7/Nm3AoPgQ/hiCQpLVrtXOnyss1OKibb9bmzZoyheBRfJjSjyoMlckondaWLVqzJv5KZaV27VJDAxt1KEqM8KMKQ6XT+vZbvfKKpPhTXzduVEODgoDaUZQIfmTRKXTt7Vq1Sl1dSiQ0OKjnntPKlZw2jSLGlH4E0eL89Gk9+KD27o2vn12yZPjT3YEixZN3BNFW3OrV2rs3vn72zjv17rvxITZA8SL4EUSTnvnzde21GhjQDTfo/fc1bZqCgOBR3JjSX8w33+ill7RuHR8LhxJB8KOKrqIbGFAyqVSKsR2lgOAvhitnUWIIfgzRw8PwjtLA5SNjIHWUEiasgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEj/wBTB7nLuDSlvwAAAABJRU5ErkJggg==", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "990a7e33b5900cf74700f831ba276f07f846e22214af08abd09240936fd3739e"}
{"episode": 46, "episode_seed": 2419049537, "split": "val", "timestamp": "2025-09-16T00:39:05.738472", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x145549a674c0>", "max_steps": 10, "abs_size": 336, "master_seed": 10000042, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2419049537, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-1.6374793311490488, 1.8385530092668976, -47.17288141186403])</answer>", "action": "('move', [-1.6374793311490488, 1.8385530092668976, -47.17288141186403])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-1.6374793311490488, 1.8385530092668976, -47.17288141186403])</answer>", "action": "('move', [-1.6374793311490488, 1.8385530092668976, -47.17288141186403])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKYklEQVR4nO3dzY9V9R3H8c+dO8C0dqowTiEw4qCIig+pj7ExJk1041/gqjE1Ltw0/gHdmLhs0oWJJk1XXXVhujJxrwtF21TF0SCTMIKlVECrFkqF+9DFOWXEUphBcTj9vl6re8885ORm3vP7nd+955zeeDwOUMPEWu8A8N0RPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFzrvE44/Fa7wSXy+Ra7wBXmF5v+fFo1G756ka6zAhPkrSj+pEjefvtfP55zpxJkomJTEyk18twaNj//2CEJ0kyGGTdurz4Yp5+Ojt25IEH8tBDueuubNmSLVsyNbX8naNRRqP2fwFdI3iSJJOTSfLFF1m/PktLWVrK73+fJLfcknvuyb335vHHs3FjkuXUB4Mk6fXaWQBd0BubqnHWX/6St9/O/v3ZuzdvvZW9e5e/dPx4Nm1KkoMHs3dv7rwz8/PLXx2NHOp3ghGer5iby9xckgwGOXw4f/1r3nsvr7ySdesyM5PBIJOTefHFPPNMtm7N/HzuvjsPPpgHH8zMzNd/VbPa77/AFcYIz1c0x+f5zwy/cfp0hsNMTeXMmaxfnyefzO9+187nk/T72bQpN92URx/NE09k69b2CP+s8TjDoZn/FULwnE8zPo/H56l0OMzCQl55Ja++moWFHD2av/89SWZns2dPbrgh43GOH8+f/5ydOzMzk2uuWf7ZwSD9vuzXkOC5mOYv5LyVDgZ588388Y959dVs3pwXXmiH9+eey9NPZ3Y2992X++/PnXdmx47ceGOmp8/5tcOh1f7vmOBZvWbwH43OGa5Pn866dUnS6+XZZ/OrX+Uf/1j+keuvz+7dueOO/OIX2batnTs0fLznOyR4voEm+6bYpvbG0aNZWsqBA/nTn/LGG9mzJ8Nhklx1Vfbsye23ZzzOoUN5+eU8/HB27VqbnS9J8HxLmjX5/9742Wf59NMsLOSll7J5c375y3z/+0nym9/kqaeyZUuuvTY/+Ul++tM89FD7HoGh/rIRPJdBM/In6ffP/w2jUZ59Ns8/n08/bQf/JI88kj/8IdPT50z4+VYJnsvpq39dZ8fts3OBxcW89lpefz2Li9m3L489ll//OmfOnHN0wLdK8KyRrx0CvPlmNm3Kzp1ffxufb5XgWTvNgt9olMlJkX83BM8VoDnmbz6Nx+UkeCjEP1QoRPBQiOChEMFDIYKHQgQPhbjEFZ135kx7cq1r6lyU9+GhECM83XbqVJ54Itu3Z9euPPxw5ufPf54uDSM8XdWE/c47+fGPk6Tfz29/m5//vL24Ludl0Y6uaoaqhYX2bNrRKLOza7tHHSB4uqoJ/v332xvhzc1l27bE9XIuSPB0VRP8e++1T+fmsnVrIvgLEjyddHZlbmmp3bJtW2ZnrdhdhODppPE4/X6OHMlnn7Vb5uYyMdG+J8//Ing6qZnP79uXEyeSpNfLDTe0D7gAwdNJTfCLi+3dLqanBb8igqeTmqtg79/fLtFv2iT4FRE83XP2uvUffthu2bixvY2li+JdmJeH7hmPMzmZEyfy8cftlh/9KBs2ZDAwwl+E4Ome5gD+o49y9Gi75eab13B3ukTwdE8T/MGDOXIkSSYns3t34gB+BQRP9zTBHzrULtFPTbUjvOAvSvB0TxP2oUPt06mp3HZbEit2F+cVomOaFbvBIAcPtls2bszsbHvrGi5M8HRMM5//5JPl9+RuvXXt9qZrBE8nHTuWAwfax7ffnjiAXxnB0zHNCH/8eP72t/agvTmAZyUETycdPtzeZjrJHXes9d50h+DpmH4/ST74IEmGw1x1VebnE1P6lRE8XdLM5//1r+Xgb745Gzas7U51ieDpnhMnsm9f+/i221yjdhUET/ecPJnFxXZuv3u3z9usgpeK7vn445w61Q7szXty7q6wQoKnS5qVueZKtcNhknbFTvArJHi6pwl+MMi2bbn66sQS/YoJno4Zj5evRX/rrZmeXtO96RrB0zGjURYW2iF9507Br47g6Zhjx3LkSLtEv2tX+v0Mh6b0KyV4OqNZmXv33YzH7WMrdqvlIwt0RnMbqfffb69RPT2dzZsTK3arYYSnYxYW2gfXXy/4VRM8nfG128Vu394Gz8oJns6YmMiXX+bw4fbpddflBz/IcOijtavgpaIbmkvWLS7m1Kl2y/bt7XZWTvB0QzOf/+CDnDyZJOvXZ8eOxAH8KgmebmhG8n378s9/JsnMjOteXArB0w3NCL9/f/t0dtbtYi+F4OmGfj+jUT76qH06M5PNm33GbtUETweMx+n3c/RoPvmk3TI3l8TNJ1ZN8HRAcwB/4ECOHUuSXi+33NI+YFUETwc0wR86lOPHk+R733P3yEskeDqgWbFbWkqvl3Xr8sMftreXEvxqOXmGDmhOhl1ayunTSTIc5sYb23NpWBXBc6VrVuyS/OxnmZ/P4cOZmsqGDRmNfKh21XpjJxPTNadPZ/36td6JbhI8nTEcZjjM5KSB/dIJno5p/mAdvV8ax/B0jNS/CXMjKETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyH/BiSWVF2bRI8dAAAAAElFTkSuQmCC", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-1.6374793311490488, 1.8385530092668976, -47.17288141186403])</answer>", "action": "('move', [-1.6374793311490488, 1.8385530092668976, -47.17288141186403])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "fcfce3e30b4b1f037cd3c770d5ea0566105d7aee6cd3a9dd1aac0f454c393226"}
{"episode": 47, "episode_seed": 1968917083, "split": "val", "timestamp": "2025-09-16T00:39:06.351457", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x145549a674c0>", "max_steps": 10, "abs_size": 336, "master_seed": 10000042, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1968917083, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [2.427771832216623, 0.7428237157887003, -44.221719664924876])</answer>", "action": "('move', [2.427771832216623, 0.7428237157887003, -44.221719664924876])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [2.427771832216623, 0.7428237157887003, -44.221719664924876])</answer>", "action": "('move', [2.427771832216623, 0.7428237157887003, -44.221719664924876])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [2.427771832216623, 0.7428237157887003, -44.221719664924876])</answer>", "action": "('move', [2.427771832216623, 0.7428237157887003, -44.221719664924876])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAIrklEQVR4nO3dX+hfdR3H8fc539+WqEkWSJkXOXX4JxLJhowsU3ATB6l1kQ1NMrxQckmQBhopIk26SKnwfl54Z0NMqzXzT1uYkRo2nNBA1GEXgk2n7rvv+XTxHd7u3++33/fH6/G4+/G7OXwPT96fcz7fc75da62ADP1iHwBw7AgegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggeggieY6q12r+/hmGxjyOV4DnW5uaq72syWezjiCR4jp3WqqoeeaTefbdGowN/ciwJnmNk//7qutq0qdavr3XrasuW6rpqTfbHVNd83iy8yaT6vl5/va64onbsqKo644zavLnOO68mkxqNFvv4YpjwLLjpGG+t7t847NgxfGJ59X2tXdtWrqz9+9V+TJnwLLhhqL6vP/6hrrp6+PDDvqpWrmzbt3cnn1ytVdct9vElMeFZWNOk9+ypu+4aPvig7/tqbdj4i1L7ohA8C67r6tcPtuf/XnNzNZnU+mu7b17VqX1RWNKzgKZVv/JKrVrVPtrXDfvrc58dnt3Wn/6FqhL8IjDhWUDDUMNQGzbU3r3dqK/qhp/f3a043WJ+0QiehTLdb3voodq6tUaj2revrryy/861nTXlIrKkZ0FMa9/1n3bx1+qtt7q+r5NOqiefrFWrbLwvJhOe+TcdIuNx3XNPvflm1/c1Germm9W++Ex45t+06s2/G767vhvv78b72pe+ODzz3OiEE2o0cvW+mATPPBuG6rp6+7/tijX14kvddJ7//vF2+RpbcYvPkp551nXVdfXgA/XiS92yZTWZtB98f1D7jDDhmU/Tqp9/vn119TBpo1Z12ueHF17oTjlF8DPBhGeejcf1ow1tPBl1XbVh2LixV/vsEDzzZvrE+wMPtO1/O7CY//a36pqraxg89D4rLOmZH9M78y+/XGvX1ttvV2t12mm1eXNdcIGtuBliwjMPpjN8uvG+e/eBvG+5uV1wQY3Hap8hJjzzYDrDH364brihWqthqNWra8uWOu64Kg/JzBLBc7Sm77d468126WVt586+72s0qqeeqtWrD/yL2eFscFSmt9+HoTZubK++2o1GNZnULbfU6tXVmtpnjgnPUZkG//TTdfnlrbVuPK6zzxr+ur3/1Mlqn0XOCUeltfroo9rww8m+fV1VjeaG+3/ZffozrttnlOA5ctNL9Pvuay/9azSaq/G4fe+6bs3azi9JzSxLeo7Q9M78P/8xfOPSeu/9fhjaqae2vzzVnXlWZ+N9ZpnwHInpmNi7t+68s3v3f32rGo26O27vzjyr86r5WSZ4jsTHG+9/2totX17DpH394smNN3a+ZjPjLOk5bNNL9507a+3a2rWr+r5OPLG2/rl9+cLOxvuMc3I4bNMfgdy4sXbtqmXLahjqtttK7UuCCc/hmW68P/54rVvX+r4bhjr//Nq2rY4/3sunlwDBc3haqz3v1VcuHF57re/76vv2xBPdZZepfWmwAuMwTCbVdXX3z4adO7u5uZpM2k031SWXHHiPHbPPhOdQTe/MP/NMrVvX3n+/G4Y699x67LFascJDMkuGs8QhGYaqVnv3tjt/Otmzp0ajmptrP/nxsGJFjcdqXzKcKA5JazWaq9/+pp7d1vd9Nx7XunV13Q39MNTc3GIfHIfMkp6Dm67Y//1KW7O27d7dt1af+uTw3Pbu7LM7z8AuLc4VBzG9/b53b917b73xRjd9+v32O7pzzlH70mPCcxDT4B99tK65pqbvt7ho1fD0c/3cSO1LjzPGIbnoorr++pqbq75vv3qgX77MPtySZMJzcB9/qWbTpnrnnbr11gPfrtX8kiN4DtXHm+1SX7oEz2GYTKo1+3BLmOAhiJt2EETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEOT/QRw46oLk17UAAAAASUVORK5CYII=", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "b16bb10f4e2853904757d25a52a1517a5e6ff3d86bae2b906bb055566c7d7ba9"}
{"episode": 48, "episode_seed": 3033691579, "split": "val", "timestamp": "2025-09-16T00:39:06.962885", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x145549a674c0>", "max_steps": 10, "abs_size": 336, "master_seed": 10000042, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3033691579, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-47.18980030880926, -52.19128903392194, -57.08203756816604])</answer>", "action": "('move', [-47.18980030880926, -52.19128903392194, -57.08203756816604])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-47.18980030880926, -52.19128903392194, -57.08203756816604])</answer>", "action": "('move', [-47.18980030880926, -52.19128903392194, -57.08203756816604])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKIklEQVR4nO3d/4tldR3H8de9d3bcdVlErDQSwQVZCM0gpDAlRFuystrSvkFFiUj9F/0BIQQiKAVFUKz0zURkLZKoDTQya5FgfxLb2B8aoXR1Z+/cc/rhnHY0/GFndPfOx/fj8dPA3AsfGJ7zPvM5n3Nn0vd9gBqmy14AcOEIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgT/ttX3y14BO4/g34a6LhsbmUyWvQ52HsG/rfR9ui7TaVZWcupUzpxZ9oLYYQTfvCHywWSS6TTPPJN7782tt+bo0SRZLJa4OnaWlWUvgO3ruvR9ZrPx6v2ll/L447n//vzlL/n3v5Pk4YfzkY+k6zKbLXel7BSCb9Jika7Lrl1Jsr6e48fz05/me9/LCy+ML5jNsljk17/OCy/kqqvG63wQfGMWi/R9VlYym+XEiRw9ml/+Mj/+8XhVv2tX5vPxi5tuysc/nosvTmIDj9Gkd/emEV2XyWRM9+mn88gjOXIkTz2VJCsrmU7HLbp3vzuf+UwOHsztt+eii5a5YHYgwe9oww/n7HxeLHL4cA4fztNP58SJJJnNNjftPvjBfPWrufnmXHfd+Pr5PCsrxjubBL8TDQ0PW+6Df/wjDz6Yw4fz/PM5fTpJJpPx18GePTl0KPfck+uvz6WXJknXjRt1Uuf/CH5n6fssFputrq3l2Wfz0EP5xS/eoPP9+/OFL+TrX8+VV45vH/btp1Op88YEv1N0XRaLceM9yV//mt/9Lt//fp55Jkmm00yn2dhIkiuvzA035Etfyp13bob9fxf/8IYEv3zDBfxwq3x9PY8+miNH8sgjOXkySXbtGm/CJbnxxnz0o/nEJ3LDDeMbh3kO50jwS9P3rxvIzz+fH/0oTzyRP/5x3G8/e49tdTV33ZVDh/LhD+eKK5JkPh9nvpHOlgj+QnvtPB/8/ve5//784Q+bx2bOuuqq3HtvPvWpXHPNeI9teCrGyTm2R/AXztkzM0n6PidP5tFH88ADOXZsnORnN+QuuSQf+EC+9a187GPZu3d8+8bGONVh25y0uxBeexL2pZfy7LP52c/ygx/kxReTbI7rvs+11+aWW3L33bn++s23D7foVvyseNNM+PNreFJtSPr48fzmN3nssfzqV0nGhofZvm9fbr01Bw/m85/PZZclrz9XB28VwV8ITz6Zhx/Ok0/mueeSZDbLdDqmfvXV+fKXc9ttufnm8ffCfD6+AN5ygj8vhh34V17JD3+Yn/wkx45lbS1JptPNZ9dvuy3f+EY+9KFcffX4lo0NqXN+Cf6tN9T++OP52tfyr39tFp5kMsk735lDh/LNb+bAgezePb7+tafr4PyxEXS+7N+ftbXNkX7JJXnve/PFL+YrXxlPvOc1J2dsyHFhmPDny2KRu+7Kz3+eAwdy00353Ody++3jtxyDZVkEfx499VSeeCJ33pkDB5LX79jDUgj+QpjP3UhnRxD8eXT2oylMdXYIwUMh7vlCIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoZGXZC9iWvk/fJ8nULyzYgkk/lAMU0NqE7/tMJnn55aytZXU1l19uyMO5a62WxSJJfvvb3HFHPv3pvPLKshcELWlwwic5eTJ/+1uSrLS2fliqNoPpusxm2bdP8LAlrV3SD9bX03XZvXvZ64DGtBb8cEn/6qtJsmfPctcCzWkt+MHqaiaTXHppJpNlLwVa0tp9+OG23NpaTpzI3r3Zv1/zcO5aCx54E9q8pAe2pbXbWsMl/bFjOX4811yTa69d9oKgJU1N+LPPzHz3u/nsZ/Od7yx7QdCYpoJPxi26M2ccoYdtaC2bySRdlzNn0vfZu3fZq4HGtBZ8kvk86+vp+1x00bKXAo1pMPiNjZw5kzhpB1vWVPDDjp3gYbuaCn4wn4/Be3gGtqjN4NfXE8HDljV1tHY4dXPqVB57LH//e+64I+9//7LXBC1pKnjgzWnwkj7JYpH5PF237HVAY0x4KKSpCT+M9Oeeyy235Lrr8uc/J/+7Vwecg6aelhva/s9/8qc/5eWXx7164Jw1NeEHi0V27cp0mn37lr0UaEyDwQ/34bvOWXrYqqaCHy7p5/OcPp0ks9lylwPNaSr4wWIx/iMKj8TDFjW1aTfY2MjKSvbuFTxsVYPNnDo1PjDnA6phi5qa8EPh73lPDh7MZZfl4ouXvSBoTJsn7YaPuBr+/wxwztoMHtiWBv+GB7arqb/hh+fhjx7NkSN53/vyyU9mdXXZa4KWNDjhjxzJt7+d++4b/2m0P0ngnLUT/DDehy9ms7zjHU7awVa1E/xZp09nscjqqoM3sFWtNdN140H63btNeNiqloM34WGLWmtmY2PzM6pNeNii1oLvuqyvZ2Ule/aY8LBVrTWzWOTVV7OxsXk3zulaOGetHa3tuvzzn3nxxVxxRd71rmWvBhrTWvDAm9DaJX2Svk/XOWAH22DCQyENTnhguwQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FPJf9Bx6cVzh84oAAAAASUVORK5CYII=", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-47.18980030880926, -52.19128903392194, -57.08203756816604])</answer>", "action": "('move', [-47.18980030880926, -52.19128903392194, -57.08203756816604])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "4adfbd1fa648753a666f80bc8386cb8c0014637af69fd02903ee065a2929bd7c"}
{"episode": 49, "episode_seed": 4146132961, "split": "val", "timestamp": "2025-09-16T00:39:07.578763", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x145549a674c0>", "max_steps": 10, "abs_size": 336, "master_seed": 10000042, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 4146132961, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-4.459925276459603, -81.2771129126541, -47.109427775140574])</answer>", "action": "('move', [-4.459925276459603, -81.2771129126541, -47.109427775140574])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAALOElEQVR4nO3dX2hX9R/H8dc53++WumSpzIz+SBcRdrH+iiUENqlsdSNBgUUxcgiFqZusuVqGgrNASwjJiMyFKSrVAu2i8kLNixIKwcKZ1vJPdhFUgpX7nnN+F+e7Tfu1dGp+d76v5+NyV4cve+59Pp/POd8FSZIIgIew1BcA4NIheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgL4UkKfUVAJII/hJIEgVBqS8CkETw/50kKQ72JNGpU6W+GkASwf9H4lhBoCDQsWOaOVOPPKIokri3R6kR/EWWJCoUFIbq7dXGjZo8WR99pK4urV5d/CsAlFCQMHQunjiWpDDUgQPq6NDatZJUWalTp3Tttdq3T6NHl/YC4Y4Jf9FEkcJQYajOTj34oNauVT6vMNSpU5o6VW+8oVGjSn2JsMeEvwjSjzAI1NOjtjZt2KAkKQ72XE4tLXr2WU2YUOqrBAj+AvWnLqmzUy+8oMOHlcsVt+huuUWvvqpp0ySpUFA+X7LrBFIEf/6iSLmcJB09qpYWbdyoOFZFhXp7NWqUnn5aL72kqipJimOFLJ4wDBD8eertVUWFokibNqmlRUeOKJ9XFClJdNttWr5c994rnXkLAJQcwQ9ZkiiOlctp/351dGjdOqlvK37kSD3zjJ5/XldcMTD/geGD4Iem/znZtWv18svav39gsN95p5YsKQ52asfwRPDnqn8dfuSIWlq0ebMKheJgl9TWpnnzNH68okhBwIodwxTBn13/Pfw/rthra7VqVXErPj2KZ8WOYYtJdBbpAVsupx9+0FNPadYsHTmiigoVCho9WgsWaPduTZtWfFUml6N2DGtM+H+TbsVLWr9e7e36/nvlcopjJYmmTNGLL6q+XuIFWGQHwQ8qXbQfPKglS9TZKfVtxefzamrSwoWqqeFxGmQMwf/d6Sfn69Zp6VIdPHjGGfsrr2j6dImH55BBBH+G/uO0Y8fU3KwtW1QoFB+eq6jQggVqa1N1dXHFzlY8Mofgi9L32NO2P/hATU06enTgqfibb9bKlaqrk077cgsgcxhSUt/BW0WF9u/XnDl69FEdParKSkWRLr9cTU3auVN1dQODndqRUUz4gSdq1q3TsmXq7lY+rzhWHOuuu9TergcekHh4DmXBOvj+/bnDh9XaesbrbpIWLdLcubrqKhUKHLCjTJgGf/qu23vvqa1NPT0DZ+y1tXrtNd1zj8RWPMqL4xo+3YcLQx0+rCee0GOPqaenuGKvqlJTk3btKtYex9SOsmI34dOJHcfatEnPPacffxwY7HfcoSVLiit2Hp5DWfIKPs24u1vLl5/xlbKXXaa5c7VokcaOZXMO5cwo+HQ3futWNTUVt+KTRFGkyZO1dKnuv19iKx7lzmiF2r8nf+iQ8vniv4tobVVTk2pqil8pT+0ob0abduljc/X1WrRIUaTaWn32mTo6VFPDt1bAhdEtvfrW8MePa/NmzZqlceMGfgg48Ar+b0gdbhzvYtP3ZKgdhqwnPODGccIDtggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMFLSaIkKfVFAJeCffBRpCBQEJT6OoBLIUgYbn/8oTjWqFGSKB/lzXvCJ4m2btWMGersLKbOnz+UtXypL6CkgkAff6wdO9Tdrfp6TZyoOGbIo4wZT/gokqSGBk2YoOPHtXKlJIXGHwgMGP9+h6HiWLffrsZGhaHefFN795b6moD/lnHwQaAkURxr9mxNmqQ//1Rjo3p7OaVDGTMOXlIupzjWdddpzhxdc40eeogFPMqb/bFcOs9PntRPP+mGGyQpjlnJo1zZB3+6JGHCo7wxyiSpuJgPAv32m95/XwcOSFIcl/qygIuM4CVJQaAwVG+vmpv18MNatUq9vRLP4aDcELykvpV8kqimRpLefVd79igMCR5lhjV8n3QB//PPuu8+7d2r+np1dSmXY1WPcsKE7xMEKhR05ZWaN09hqG3b9OGHxbN6oFww4U+T7tudPKmZM/XJJ7rxRn31lUaMYMijbDDhTxOGiiJVVWnhQo0cqQMHtGKFgoDtepQNJvz/SR+8efxxrV+vceO0b5/Gj1eS8DQOyoD367H/KB3p7e06flyNjRoxovhDIPuY8IM7cUKjR5f6IoCLieAHkZ7S9T9Xn35KzHlkHOvSQfQfyH33nVpbtW0bR3QoA0z4QfSP9Llz9frrmjRJu3erurr4QyCbmPCD6D+NmzFD48bp22+1Zg2pI+uY8IPrf4Vu9my9847GjtWXX+r663mLFtnFhB9cWnUYav58XX21fvlFixdLfd9+CWQQwf+rXE6Fgmpr1dCgMFRXlz79VPk8zSOjuKU/m/Tz+fVXTZ2q7m7V1WnDBo0ZozDkxh6Zw4Q/m/Q0bswYLV6sONaePTp0SLkcQx5ZxIQ/N0miv/7SihWqq9Ott6qyUuK/ViB7CP6csTmP7GNGnbO09vRw/uRJnTjBg3fIHIIfinTIf/GFnnxSzc0MfGQOwQ9FFCkItG2btmzR229r506Jb7ZFlrCGH4r0wbvff9e0afr6a919t3bs4EU6ZAgTfijS78Cqrtb8+crntWuX3npLQcARHbKCCT906Uvy06dr+3bddJO2b+c7sJAV/I4OXXr3vmyZKiv1zTdavbr4ah1/OjHsEfzQpcFPmaKGBklas0aff658ni+3xfBH8OclfXO2tVXV1crllM9L7NshA1jDX4Ao0p49mjBBEyfyHB4ygeAvAJEja7ilvwDpi3T8xUR28I8oLgwTHpnChAeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8ICR/wE58UJe/S/hSAAAAABJRU5ErkJggg==", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-4.459925276459603, -81.2771129126541, -47.109427775140574])</answer>", "action": "('move', [-4.459925276459603, -81.2771129126541, -47.109427775140574])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-4.459925276459603, -81.2771129126541, -47.109427775140574])</answer>", "action": "('move', [-4.459925276459603, -81.2771129126541, -47.109427775140574])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "bebe59b16cb26fd8912e30ac4da0bd247107fceb93382e27110a3a0e3b23b764"}
{"episode": 50, "episode_seed": 670580550, "split": "val", "timestamp": "2025-09-16T00:39:08.542505", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x145549a674c0>", "max_steps": 10, "abs_size": 336, "master_seed": 10000042, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 670580550, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-3.2822175784951195, -6.15498772164556, 11.59567085467423])</answer>", "action": "('move', [-3.2822175784951195, -6.15498772164556, 11.59567085467423])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-3.2822175784951195, -6.15498772164556, 11.59567085467423])</answer>", "action": "('move', [-3.2822175784951195, -6.15498772164556, 11.59567085467423])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-3.2822175784951195, -6.15498772164556, 11.59567085467423])</answer>", "action": "('move', [-3.2822175784951195, -6.15498772164556, 11.59567085467423])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "4226a9fdf16af2905ee65aa391dcbcf2d5fe86d8af9fd5088b33d1a36431ef7e"}
{"episode": 51, "episode_seed": 123429869, "split": "val", "timestamp": "2025-09-16T00:39:09.152035", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x145549a674c0>", "max_steps": 10, "abs_size": 336, "master_seed": 10000042, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 123429869, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-6.678991934696036, 2.4553516236786543, 4.754384877582832])</answer>", "action": "('move', [-6.678991934696036, 2.4553516236786543, 4.754384877582832])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-6.678991934696036, 2.4553516236786543, 4.754384877582832])</answer>", "action": "('move', [-6.678991934696036, 2.4553516236786543, 4.754384877582832])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-6.678991934696036, 2.4553516236786543, 4.754384877582832])</answer>", "action": "('move', [-6.678991934696036, 2.4553516236786543, 4.754384877582832])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "9855f5fa9813ce7bbb84cc9dd89fa5862bc4ff3f47f6619a30dad081ca7a899a"}
{"episode": 52, "episode_seed": 4033754987, "split": "val", "timestamp": "2025-09-16T00:39:09.757988", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x145549a674c0>", "max_steps": 10, "abs_size": 336, "master_seed": 10000042, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 4033754987, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-0.5033278433574532, -2.2279063693772203, 46.48912502287385])</answer>", "action": "('move', [-0.5033278433574532, -2.2279063693772203, 46.48912502287385])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-0.5033278433574532, -2.2279063693772203, 46.48912502287385])</answer>", "action": "('move', [-0.5033278433574532, -2.2279063693772203, 46.48912502287385])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-0.5033278433574532, -2.2279063693772203, 46.48912502287385])</answer>", "action": "('move', [-0.5033278433574532, -2.2279063693772203, 46.48912502287385])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAFVklEQVR4nO3aXW7TWBiA4c9xYNaAELvgGok1zT27YB8sgKWwipHmpm3suUgFqENpxTCU6H0eOZETH1knkV7/RFn2fR+g4fDUEwB+HcFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQo5PPYEftG1zczMzs9w+7vXggJlZHhrw/THL8qg9wJNb9n1/6jkAv8jlneFPp1nX+fhx3r+f0832x/G0LLMe53iYw2HWdQ7rHI+zPj+ux2Vd57Ds67Kvx1mPc1iXdV2Ox1nXWdfb8XeWw2GOxy+bzi+/Of5wmGfPZtvm5ct58eKpvxd4hMsL/nxF8unTfPgwM4f7r9eX+1bOl993nn/szefP5+pq/vxz3r37CR8N/m+XF/zZ+QZ+Zh6+Qf/XmPMh46fcyqzHOd3M1dXtDt3J85u7vODPUb16NW/fzvX17Pvs22z7bNvsXz2fl8/rdzbt3x3/Zdg2277v23K7/23fZ/t6MqebZeawbd+eKvxuLvVHu9Nprq/ndLrt87xyZ3n8m/duOu3bNtu2nM4vb/bttG3bbKc53fa//PX3+ubNvH791N8IPMKlBg/8gMu7pD/7fJh6zPHqwTH/ZSf7fvujPfz+nOEhxF9rIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8h/wA6UfnOqCt9SgAAAABJRU5ErkJggg==", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "2b872b2990ea3c61d32459ed2b5092096a700ef9c9966178b1f0cf1cf9f1ba9a"}
{"episode": 53, "episode_seed": 2397781734, "split": "val", "timestamp": "2025-09-16T00:39:10.713415", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x145549a674c0>", "max_steps": 10, "abs_size": 336, "master_seed": 10000042, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2397781734, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-3.8302057271295538, 1.0800198725229213, -30.786805912023812])</answer>", "action": "('move', [-3.8302057271295538, 1.0800198725229213, -30.786805912023812])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAALUElEQVR4nO3dXYgV5QPH8d/MOeuakbaWlmFKpjdd1IaZlWVGhYiarS75mmESmFlW0G1BEeFFJYoYYam9ibRhZKtFgqVF9kIq0UV1yoowEyXsRT1nz5zpYuav9u9G1z0zx37fz4W4x70Yh/M9zzMzz8wJ4jgWAA9h3hsAIDsEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBD8qYtjxXHeGwF0B8GfuiBQECiKyB5nHII/abWaJO3bp23bVKmoUFAQqFole5xBCP5UlMt66indeKMWLNB776laVbGoOFYU5b1lwEkh+JMTxwpDlcsqlSRp9WpNnKiZM9XRoTBUocA4jzNCEPNOPXm1mn78UVu2aMUK7d4tSc3NGjdO8+apvT3NPgjSP4HGQ/DdcuCANm/W00+n2Yehli7V/fcf/4XkgD9kAoXGQvCn6MSSKxWtX69ly1QqaetWtbaqVlMU6ehRnXOOJHV1qVAgezQOgu+WEyftlYq++kqXXaZevRQE6uzU8uWaPVu33qoLL5Skri4Vi0zy0QgI/vScWH6tpkpFM2fqzTclacwYzZih6dM1YED6rwz1yBvBn7Zk4V2yGqdS0fvv68UXtX59+q+jRqmtTffdp759OZmH3BF8HRw+rM8/17Jl2rAhPeYfPlwPP6x7701/IfmMYMBH5njP9bQoUp8+GjtW69fr4491++3q21elkrq6jv9OECgM0zN8QIYY4esg2aXHZu87duiFF7RkiVpaFATat0+bNumqq3T55ZJUrSoIVCjktrVwQvD19H9T9yhSoaAnntCjj2rIEN15p9rb1doqSdVqujgfqCem9PV0bOre1XX8jF3//mpp0U8/6ckn1damRYu0axfX7ZANRvjMRZG++UYvv6znntNvv0nSRRdp/Hg98IBaW9PPhVotPe2P/2GX9AiCz8/PP2v5cq1dq19/laSJE/X22/94XzPP/xd2yWliSp+5OE6v1Q0erCVLtHu3HnlEI0akS/GT2kslHTmiYlGSqtU8tzZvyXj055/askUHD3Loc7oY4XN17MD+l180aFC6Gm/3brW16eqrNW+exo+XrFfpJXtowwZNnapx49Tertmz1a8f2XcTwecteX5G8iCNalVNTXrsMT3+uCQ1N2vyZE2frvb29Dct3+ZxrJtv1vbt6Vznu+80bJjtzjhdpuNGAwkCFYvpoXuS/fz5ev55XXGFymV1dGjOHC1erHI5vdPeSfLf/eQTffBBen1z8WINHSqJ2ruJ4BtDMmNPDuCHDNE992jrVq1dq5EjVano0kvV1JR+KDhJgl+6VLWa4liFgqZNU6HAAsXuY0rfeE5cqFcu6513dO21GjjQbRabnNkslTRqlP74Q3GsadP00ks66yyJEb67inlvAP4leS8neTc3a8qUf7xuo1ZTsaiVK/X77wpDNTdr6lT16aOuLjU15b1xZyym9I3qxNvs/WZhyXWJvXvV2Zn+2NqqCRNUq3HbwWkh+IYXhm5ju6QoUhhq3Trt2aMwVBhqyhS1tKSvo9vYeWg4yWT+4EG99Vb6TR+DB2v+fMVxuhYJ3UbwaDjJ6YutW7Vtm8JQcay2Ng0YYHiZoucRPBpLcvmtXNa6demPZ5+tRYsknvrdE9iFaCzJCcqdO7VpU3p+buJEDR8u2V2mqAuCR2NJHiDw2ms6ejRdW/jQQ3xDd49h4Q0aSPJm3LtXI0aoUlEU6ZZbtHGjevd2W3ZUL4zwaCxBoFWrdORIejlywQL17s3puh5D8Ggsf/2lVasUBKpWNXKkrr8+7w36byF4NIooUhBozRrt3Zsevc+YoQsuYLFNT2IdAxpCcoheLuuVV9LbZi65RJMn571Z/zl8cqIhVKsKQ3V2ateu9HB90iSNGJE+xA49hREe+UseblGr6dVXdfSoJJ1/vmbN4jG1PY8RHvlLvqHjww+1bVsa+ejRuuaa9HX0IIJH/pJz8hs36sCBNPjFi9PX0bNYeIOcJcN4qaQbbtD+/arVNHKkPvtMIvg6YIRHzpJLbp2d2rcvncA/+GCuG/SfxgiPPCVX4w4d0ujR+vZbSRo6VDt3ql8/1tLWBSM8chbHevddff21CgXValq4UP36Sczn64Pgkaek6meflaRaTeedp7a29O+oB67DIzfJ0eT27dqxQ2GoKNJdd2nIEOdv1qo79ityk9wD98wz6Tjf0qLbblNTE7e+1xEjPPKR3BLzxRf66KP0+RY33aTrrmN4ry92LfKRnIRfsyZdbNPcrOnT1dSU3jOHOiF45CBZbPP999q8WZLiWFdeqUmT0gdUo34IHvlIvvW9VFIQqFDQHXeoTx+ebFN3BI+sJUfp+/frjTfSVwYN0rx5fM9EFggeOQgCbd+uTz9Vsag41pw5OvfcvLfJA8EjU8mt70eOaPVqRZHiWM3NWriQS3EZIXhkLY715Zfq7FSxqCjS3Lm6+GKedZERgkemkrBXrEh/7NVLd98tiRE+IwSP7CRV//CDOjoUhqpWNX68Wltz3iorBI/sJMGvXKnDh9MJ/Ny56t2bxTbZIXhkJDldd+iQXn89vVVmzBiNHct975kieGSkWpWklSu1Z4+CQL16qa1NAwemD6hGNtjTyEhS9bBhmjBBUaT+/dXerlqN59JmikdcITvJ7D2K1NGhKNKsWdwblzWCR6aq1ePrZ6k9ewSPrMVxelqeyXz2CB4wwowKMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8Y+RuYAurpoUdl2wAAAABJRU5ErkJggg==", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAALCElEQVR4nO3dfWhV9QPH8c992LUUDQ2zB5Ao8Y9aMamBIWSNbC0rFR/a6AnJbGWKSKhIGqEpDU1xSA9kZuYfi2rSSlsmW0UkVNgQ8YFBT4IKgf4R0927e8/vj3PaVH78Uvu5e+4+79cf/rPzx3F37/v9nu/5nnsTQRAIgIdksU8AQP8heMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgL14QKAiKfRLApSD4i5dIKJFQPk/2KDkEf8EKBUk6flzffKNsVqmUEgn19JA9SgjBX4zubq1Zo4kTVV+v3bvV06N0WkGgfL7YZwZcEIK/MEGgZFLd3erslKQtWzR5surq9NFHSiaVSjHOoyQkAv5SL1yhoN9+01dfadMmdXRI0qBBuucezZ6tGTOi7BOJ6F8gfgj+kvz5p3bt0rp1UfbJpDZs0Pz5fQeEF/xJJlCIF4K/SGeXnM2qqUkbN6qzU21tqqhQoaB8XmfOaOhQScrllEqRPeKD4C/J2ZP2bFYHDuiWW5TJKJHQ55+rsVGPPaZJk3TttZKUyymdZpKPOCD4f+fs8gsFZbOqq9OOHZI0YYJqa/Xooxo5MvopQz2KjeD/tXDjXbgbJ5tVe7vefVdNTdFPKys1bZrmzdOwYSzmoegI/jLo6tKPP2rjRjU3R9f8Y8Zo0SI991x0QPgewYCPfsff3P9bPq/Bg3X33Wpq0vffa+pUDRumzk7lcn3HJBJKJqMVPqAfMcJfBuGvtHf2vnevNm/Wa69p+HAlEjp+XDt36s47dfvtktTTo0RCqVTRzhZOCP5yOm/qns8rldLKlVqxQqNH64knNGOGKiokqacn2pw/ELFeGR+8DpdT79Q9l+tbsRsxQsOH6/ff9eqrmjZNL7ygn38eqPftwtGE2uODEb7f5fM6ckTbtunNN3XypCRdf72qq7VggSoqoveFQiFa9i9ZvZc1p0+rpUWzZnGPIhYIvniOHlVjo7Zu1YkTkjR5sj777JzUS3aeH167SNq/X/X1+uEHffCBZs1ibl98BN/vzruwP3FC69Zpxw41Nqq6OhoHOzt1ww268sro2dt0uqhnfHHCh4azWW3ZoqVLdeqUkkldfbX27NFtt9F8kfG773fhhX0oCDRqlBoa9PXXqq6OhveODt1/v2bPVmurEgml09HN/NgLgqj2zk7NmaP6ep06pbIyFQrKZPTrr9ExKCKCL6rwWdqeHl13Xd8HaXzyiX75RU1NmjJFM2dGj9wr7q2EU5N0Wh9/rKlTtW1bNC/J5fTQQ2pp0cMPKwi4/1hkTOnjIZzphq/FH3+otfWcR+6ffVYNDRo0KJ4LX73XKF1deuklvfWWurqUySibVTqtV17R/PkaOrTvwh5FxAgfD+EYHi7XjR6tZ55RW5u2btUddyib1c03RzPj+NUenlQyqZ9+UlWV1q/XmTNKpZTNqrxce/Zo2TJqjxFG+Pg5e6Ned7e++EJ33aVrronh8J7LqaxMp09r82YtXqzTp1VWplxOmYyefFJr1+qqq87fdojiIvi4il/eZ+u9e3D4sF5+OXo4MKz9ppu0YoWeeio6LMb/CUcEH3vx24TTe2vtww+1fLmOHFFZWfSB3VOmaNUqlZczh48pgsdF6J2f//WXlizR5s3q7o7W5664QqtWqb5eQ4ZEU33EEMHjQvUO2nv36vnntW9fNO0IAlVU6I03NH78OYchhlilxz8L9wqkUurq0tq1uvde7dunTEZBoExG8+bp2281fnx0f47a44wRHv+gUIgyPnRIy5apuVn6e31uzBitXKna2ugw9szGHy8R/pdwR00qpfff14MPqrlZmYwk5XKaOVMtLaqtjfYHUntJKKWnMtDPwkH75EktXap33lGhoLIyZbMaMkRr1mjuXA0axPpciWFKj/+id37e3q6FC9XREX2PVqGg8eO1caMqKyXW50oQ8zCcI9xRE26MX71aDzygjg5lMsrnlclo0SLt3q3Kyr4Le5QWRnj06f0erQMHtHixdu6MHoDL5TR2rFav1vTpEvvnShkjPCLhwJ5M6r33NGmSdu5UOq0gUC6nujq1tmr69Gh9jtpLF8FDkgoFpVI6flxPP63Zs3XsmDIZ9fRoxAht2qTt23XjjVyxDwRM6d31rs99+aUWLtTBg0qnlc8rCDRxotav17hxfFPOwMFr6CtcdU8mdeaMVqzQI4/o4MHoMZhMRkuWaNcujRvHV90PKIzwpsIr9kRC+/drwQK1t0tSKqV8XmPHasMG1dRI7J8bcHgxHYUb4yW9/baqqtTeHu2fy+f1+ONqa1NNDd8hMTAxwtsJb6odPaqlS7V9u/T3xvhRo7RqlebMkdhRM3ARvJew9k8/1eLFOnw4msNLmjRJr7+u8nLW5wY49tIbCcftrVs1d66y2b4Pll2+XC++qMGD+27FY6BihDcSDu/HjqmqSocOSdKtt2rDBt13n8T6nAeC9xI239amujrV1KihQSNHxvBT83C5ELyp777ThAkSA7sZgncURs7Aboj3dkfJpPJ5anfECA8YYYQHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNG/gOX9iIuy3azUQAAAABJRU5ErkJggg==", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-3.8302057271295538, 1.0800198725229213, -30.786805912023812])</answer>", "action": "('move', [-3.8302057271295538, 1.0800198725229213, -30.786805912023812])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAI9klEQVR4nO3czYtddwHG8efOTBPbMZmmyUirIAhddSERfKGUtm5qwII0ELFVXNSVonbRP6AbEemiUBoK3VSp3TTgSxdaFwoVEeyiiF10IwG1Cm3taCQTksnMfXFxL5Ppi00aO5lpns+Hw+E3mTszZ3Lne8/vnHvuHUwmkwAd5nZ6A4ArR/BQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPDv3WSSyWSnNwIuh+Dfu8Egg0FGI9nzgSP4SzYeJ8lrr+V3v8v6eubnMxhkOJQ9HyCCfy/On88PfpA778w3v5lf/zrDYRYWMplkNNrpLYNLIvhLM5lkbi7nz+fkyST50Y9y992577785CeZm8v8vP08HwiDib/USzce529/y29+k8cfz0svJcnevfn853P//Tl2bJb9YDBbw+4j+MuyspJf/SqPPDLLfm4ujz6a7373wg2mB/xzJlDsLoJ/j7aWvL6eEyfy2GM5eTLPP5/DhzMeZzTK2lr27UuSjY3Mz8ue3UPwl2XrpH19PS+/nFtuyZ49GQzyy1/m+PF87Wu5667ceGOSbGxkYcEkn91A8P+freWPx1lfz3335dlnk+S223LvvfnKV7K8PPusXT07TfD/t+mFd9OrcdbX89vf5oc/zIkTs89+5jM5ejTf/nb273cyjx0n+G1w9mxefDGPPZaf/3x2zH/zzXnwwXzrW7MbTB8j7PC54vzNvd9Go1x3Xe64IydO5A9/yD33ZP/+nDyZjY0LtxkMMjc3O8MHV5A9/DaY/pduzt5feCFPPpmHH86BAxkM8tpree65fPrT+eQnk2Q4zGCQ+fkd21qaCH47vWXqPhplfj7f+14eeigf/3i+/vUcO5bDh5NkOJxdnA/byZR+O21O3Tc2Lpyxu+GGHDiQV17J97+fo0fzne/kT3/yvB1Xhj38FTca5c9/ztNP54kncupUknz0ozlyJA88kMOHZ48L4/HstP822HqHv+XOn/5AjzxXMcHvnH/8I8eP56mn8vrrSXL33fnFL96U+mXN86f35zuupxOObXsk4QNA8FfcWw7sX389jzySZ5/N8eM5cmTW5cmT+djHcu21s9feLiy8/Ru842B6+u+iz/cNh1lby9pazp+/MDh7Nm+8kfE4X/jC7Mpgrj6C31GbB/avvpqbbppdjffSS5N7jk4+97nc/43JkbuSTEaZjGc3n74Y99130RsbOXMmq6s5c2a2rK7Oln//O6dOvcP67NnZ1y4t5cUXc/PNrgy8Oi1c/CZsn+lraUejyU03TcaTbIxyzdzcT382+OtfBn/9S372TL70xdz75Rz7cuYXk0kySDIc5j//yalTs/XWwepqTp+eLdPCp4PNnv/XViwszN7LI8n6+hX53dkJ9vC7xDiZSyZJRq/8feWZ51d+/NzKy6+uZM+/rr1l5a6vrnzisyun5v61kjNncvZszp3L2lrOnbswuKjp0ft08v/u9/kf/5hPfcoe/uok+B02fW7+oYfywgs5vZo3/plzyXCY4Rtrw/Oj4cKHhuujYUaTXHt53396om7rsriY5eUsL+cjH5kNtn64b19uvDHXXPP+/pbsFoLfYdP3xbv99vz+95v/NkmSuUGSjC/y5Xv2zJa9ey8M9u2bBXzoUJaXc+jQhfHycq67bvt+G3Y7x/C7wqFDWz+apj5JsndvFhcHi4tZXMyHP5zpYHExS0s5eDAHD+aGG2br6XLwYPbuvZwN2Pqw70m7q5jgd9j0OPnWW7O6mgMHcv31uf767N+fpaXB0lKWlqbj2Xpp6eI9b75f/luuonn3i2pEXsKUflc4fTrDYRYXL6nnzZfYbV5C8/YBvCPB7y6TScbj2Yvo8+bd8taq4fIIflfYfNec6JntJHgo4tIKKCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KPJfhbE4UPcFoYgAAAAASUVORK5CYII=", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-3.8302057271295538, 1.0800198725229213, -30.786805912023812])</answer>", "action": "('move', [-3.8302057271295538, 1.0800198725229213, -30.786805912023812])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "0a8d4e69efb9aa4de30ec5c85ab1cb2487ab4f252871f46b6a001754a7726dcc"}
{"episode": 54, "episode_seed": 38261409, "split": "val", "timestamp": "2025-09-16T00:39:11.334151", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x145549a674c0>", "max_steps": 10, "abs_size": 336, "master_seed": 10000042, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 38261409, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [2.2104654290235612, 3.19242648183188, -57.70330325126802])</answer>", "action": "('move', [2.2104654290235612, 3.19242648183188, -57.70330325126802])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [2.2104654290235612, 3.19242648183188, -57.70330325126802])</answer>", "action": "('move', [2.2104654290235612, 3.19242648183188, -57.70330325126802])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAK5UlEQVR4nO3df2hV5QPH8c+9u9fMJaWFYUWsRmKZigZZgUHSD5KwaQVRjS2yla38Ef2iH87KrUCoDUmkFdsQCceQsMgIzaSC1YSgVPpj6aDEUoxw5bTde05/3OPdFb7fmnq3e7fP+/XXYFc43Ot7z3Oec55zY2EYCoCHeKEPAMDwIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwKEphqDAs9EGMQgSP4hMEisUUixX6OEYhgkeRSacVj0vSiROSGOfzi+BRTPr7VVKiw4f17LNqbJQIPs8ShT4A4KQgUDKpL7/UK69o504lErrpJs2dq1RKCf6j5gfvI4pAGCoWUzyupiY1NOjQIcXjqq1VWZmCQCUlhT6+0YPgUWiZ2g8c0PLl6uiQpMsuU1OTFi0a+C3yhOBRUJmet27V0qXq7pak+fP1zjsqKxv4LfKHRTsUSCqldDrqeetWdXdr4kStXq2PP1ZZWbRWR+35FgtZBcXwC4Lo2lvmh95eLVum++/X7beT+pAieAyv7Cy9sVGXX65Fi6JxPtM/C/JDjDcXwyWTeiym33/X00+rrU2TJ2vKFE2bpiBQECgMqX2o8f5iWKTT0dW1L77Qk09qzx5JmjJF48ZFfwWygzyGEm8xhkVJiXp7tXq15s/Xnj0aP14vvaTt23XlldFpPCftw4JzeAy9MFRXl+rrtWWLJM2cqdde04IFhT4sR4zwGDLZsSQWU2trVHtVlT78UAsWKJUq4KHZ4hweQyC7Ppf9efFidXWpulo1NUomWY0vFKb0yLfs+lxnpy64QFOnDlxsHz/+lBdg2DGlR15l9rf29WntWt14o2pqdPiw4nEFQVR7GFJ7ARE88iQMlUopmdSPP6q6WkuXStLPP+vQoVNexmp8QRE88iFzop5IqKNDFRVqb5eke+/VZ59p2jRJXGMvEiyc4Kxlau/tVV2d1q9XX59KS9XQoEcf1bnncsZeVFi0w1kIAkmKx3X8uGpqtGGDJM2erXXrNGeOxPpc0WGihTOVSikejxbkxo7Vfffpkkv0+OPasUNz5kTPmab2IsMIj9MXhkqnlUjop580YYImTlQY6sQJ9fRo6tToBSzOFSVGeJymzAiRSOiTT1RRoZUr1dcnSWPHaupUdrMXOUZ4X2c+DKfTevllrVuno0c1bpx27dLVVw+cz6OI8fE4yg7DYRh1OiiZl+7dqzvu0Jtv6uhRTZ+ujz4a2PFG7UWPT8hRGGrjRnV3R5vQ+/sHkX3mj0QQaNkybd+ukhJVVWnHDs2bp3POIfWRgs/JSybsXbv00EO6/nqtWaP9+5VMKh7/r91rmflAPK4XXtCMGWpqUmurLryQb4YZWTiH9xKG6uvTbbepq0v9/ZJ07bV67DFVVur88wf9JY4HD2ry5IEHUWLk4AMzklmlO35csVhUezKp3bv11FO68061tQ08eObfRoEg0OTJA1/5iBGFEd5OGOrIEW3erNdf1y+/SFIioVRKY8bohhtUV6d586JX/t8hnLF9xCJ4X0eO6O231dwc7WfL3DKXTOquu7RqlaZPVywWPUuW++VGDYJ3lHsFvqdHDQ3askW//RadwGfO5Jct0+LF0Va3v/9WMsndNKMBwVvLlv/111q/Xu3tUdtBoHRaF12k2lo9+KCuukpiI8yoQPDuss+tkPTpp2pu1ubNkpRMRgt711yjqio98YTOO48bZ0c8goeUs/Ptr7+0bZvq69XVJZ1cz5M0Y4aWL1d1dVT7YC/gocgQPCLZLXCSjh3TBx+ooUH79kknsy8p0XXXqb5eN9+sMWMkJvkjEMHjFLmT9j//1Jo12rBB+/dLUkmJ0mlJWrhQzz2nOXMUiw1MDTAiEDz+t+x6Xk+Pmpq0aZMOHozazkzylyxRVVX0YJv+fiUSzPBHAILHv8lO2r/5Rq2tam5WOj2wjD9pkiortWSJysslHnsxEhA8/kOm7cwy/ldfqalJHR1SznpeebkqK/XMMyotlcRKflEjeAxKdqg/cUI7d2rlSn37bXQTXubEvrxcL76oBx7Q2LHR6/lK2CJE8BiszGMpM+tzQaCWFjU2avduKWe0nz1br76qW25RaWn0dA2W8YsKweP05H4l7LFjamzUxo3au1fKyb6iQrW1uvVW6eR3T7GMXyQIHmcou2Vu3z61tOi99/Trr1Hb/f2Kx1VZqUce0dy5ElfsiwbB48zl3pb7/fdqa1NTU3T3ThAoCDRpkhYu1PPP64orBv4JJ/YFRPA4W7lbaL/7Tm+8oY6OU9bzLr5YNTVasUITJhT2SEHwyJPcSfvnn2vVKnV2RjfkZE7sL71UdXW65x5NnFjAw3RH8Min3Bl7S4vefVednVLO3rtZs/T++5o1i7l9YbB4inzKPhIvndbDD2vbNjU2aubMqPYxY/TDD/rjj4FXYpgxwmOopFLR3rueHm3apLVrdeCAVqzQW28xvBcMwWMI5S7jd3ervV13361p03gKZsEQPIYcT8soHgSPYcI0vhgwr8IwofZiQPCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjPwDSIv1FfDJrkkAAAAASUVORK5CYII=", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [2.2104654290235612, 3.19242648183188, -57.70330325126802])</answer>", "action": "('move', [2.2104654290235612, 3.19242648183188, -57.70330325126802])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "cb896dad6ac75cba80abd74fdddc4cf86670369064b1890dd290289ae4e7adb0"}
{"episode": 55, "episode_seed": 1987969011, "split": "val", "timestamp": "2025-09-16T00:39:11.942895", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x145549a674c0>", "max_steps": 10, "abs_size": 336, "master_seed": 10000042, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1987969011, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-0.696901835563072, 11.52562296986528, -10.871187573130612])</answer>", "action": "('move', [-0.696901835563072, 11.52562296986528, -10.871187573130612])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-0.696901835563072, 11.52562296986528, -10.871187573130612])</answer>", "action": "('move', [-0.696901835563072, 11.52562296986528, -10.871187573130612])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-0.696901835563072, 11.52562296986528, -10.871187573130612])</answer>", "action": "('move', [-0.696901835563072, 11.52562296986528, -10.871187573130612])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "19cce3e6c0bc6af31d0d82aee7360a69e4fafcd1f52f2d70a826456e1a0a5565"}
{"episode": 56, "episode_seed": 3770671948, "split": "val", "timestamp": "2025-09-16T00:39:12.551691", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x145549a674c0>", "max_steps": 10, "abs_size": 336, "master_seed": 10000042, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3770671948, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-3.7809119514113543, 5.029627732316325, 42.75975602603302])</answer>", "action": "('move', [-3.7809119514113543, 5.029627732316325, 42.75975602603302])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-3.7809119514113543, 5.029627732316325, 42.75975602603302])</answer>", "action": "('move', [-3.7809119514113543, 5.029627732316325, 42.75975602603302])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-3.7809119514113543, 5.029627732316325, 42.75975602603302])</answer>", "action": "('move', [-3.7809119514113543, 5.029627732316325, 42.75975602603302])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "3c692419aa6cc1490d0792ac7eaee0ae16861572f7139e32338c07c7b55768ad"}
{"episode": 57, "episode_seed": 156036976, "split": "val", "timestamp": "2025-09-16T00:39:13.546595", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x145549a674c0>", "max_steps": 10, "abs_size": 336, "master_seed": 10000042, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 156036976, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-6.777200062877487, 13.476661602533595, -34.18096927359402])</answer>", "action": "('move', [-6.777200062877487, 13.476661602533595, -34.18096927359402])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-6.777200062877487, 13.476661602533595, -34.18096927359402])</answer>", "action": "('move', [-6.777200062877487, 13.476661602533595, -34.18096927359402])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-6.777200062877487, 13.476661602533595, -34.18096927359402])</answer>", "action": "('move', [-6.777200062877487, 13.476661602533595, -34.18096927359402])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAIuUlEQVR4nO3d36ulVR3H8e969t5nxLryn7A0kzIU0dQ0zR8oZEGCSkmTB2VATEgNRRQcKj2CWoGXBWWaIvijrG76oYhe1IVXypiMpiEIjcr4Y87ee3Wxh7nLGW1m9jl+Xq/b5+aB2e9Zz3rWetZpvfcCMgzLvgHg8BE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBH80vS+7Dsgj+CXYzqt1pZ9E+QR/BL0XuNxra9X78Z5DivBH1aLvFurG26oK66o1qo1zXP4jJd9A0Hm8xqG2rmztm2rxx+vqv65Y/oNPxym05pMln1zZDDCHz6LB/gXXqg//bFaq2FoP/rx8Icn+2RSs9myb44Mgj98RqOaz+ucc2r79nnvfTKpt96pH1xfr7++9xIcaq2bQR5e83m1Vpd8qz/42zYe13Tav/H1+a/uH00me6f0cOgY4Q+3Yaiquvdn7TNH9+m0xuP28CPDvff0wT8Fh54Rfgl6r9bqb3/tZ581/2A6Gg01Waknf1+nn7H3xR4cIn5cS9BazWb15dPaHWvDMMxH43r//fru1nrjjRoGk3kOIcEvR2s1n9eVq+2yy4Y9e2oyqZdeqtXVeu+9ms2szHOoCH45hqF6r5WVuvXWOvbYWl+v8bgee6zuvrsWq3Sa51Awh1+m2axGo3rqqTr//P7uu60N9elP9YcfqjPPaotLcHAZ4ZdpNKrZrE49tW69tc1m1ee1a1etfm/+ys5uZZ5DQfBLtgj72mvrkkvms1lNJm3Hy6PrrqvpdNl3xieR4JdvsdnmnnvaZ4+erq/38bgeerjdtdaHwZZbDjJz+A1hsTL/zDN10UV9167We43a7Iknhq+eYzLPwWSE3xAWK/Mnn1w33dRm86qqPdPRVVf1l3YY5zmYBL9RDENNp7W6Wpd8czabzSeT2vHP4cYb2/q63TgcNILfKFqrYagjjqif/nx0/HG1vl5bttRDD9famkMyOGjM4TeWxV76p5+u886r3btrPq/JpB59tM491zZ7DgK/oI1l8fR+yim1ffve2tfX65pr+quvGuc5CAS/4Sya37atLr+8L1bpXnyxbbt6rnb+f4LfiBaD+dpaO/HENp3Wyko9+ni7/bb54mU+fGzm8BvUYvn9L3/uF19c/9nVWqstK/2BB+rCi9p0WmOHj/KxGOE3qNGoptM6/Yx2yy3z3ufjcb33Qbv+hvbyyzUeW6XjYzLCb1z7DrH/zrf7L35ZKyttz55+0QX9Nw+2LUe0Ki/t+cj8ZDauxR77Pq+f3NE+f1zt2VOjUXv0ibZ2594D8PxfzUdlhN/oFtvsn322n/WV+bvvj0bj2rJSjzxSZ5+99xIcOCP8Rrc4DOukk9pdd7Xe59Vr9+7aurVee83KPB+Z4DeBRfPfWx1WV4fptLZsqVdeqa1b/TlKPjLBbwL7nttvvrlOOKE++KBGo3ryybrttr745AYOkDn8prFYmX/uuTr3a/3td6q1duSR/f5f1/kX+GaeA2WE3zQWB+CdeGLdfnv13qrq7bfr6qvnO3b0xSXYL8FvJosH+CtX2+WX9em0JpO285Xh+9fWu7v74txr+HCC30xaq/G4RqO6+552/LHT9fVaWWmPPd7W7vLGngNiDr/5LD6M/8ff+5ln9bffGnpV7/PfPdHOO7/5Zp4P59ex+SwG8y98sa3dOYzGiw9phiu3znfudBgW+yH4zWexSjed1qWX9ssvna+v99G4/vXv0dat9cYbVbbc8r8JflNaHIC3sqXduda+dELNpr2q3nzTMVjshzn8JrZvZf7CC+u00+q+++qoo5Z9T2xsgt/cFkP688/XMcfYe8P+Cf6Tw8dz7JcJ3yfBvqMy4MMJ/pNA6hwgwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUOQ/wKEDQ3qDnvMfAAAAABJRU5ErkJggg==", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "ddf290373fb793e010825909085816662232618a0d138769e94cf62c028c0516"}
{"episode": 58, "episode_seed": 1969776424, "split": "val", "timestamp": "2025-09-16T00:39:14.155714", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x145549a674c0>", "max_steps": 10, "abs_size": 336, "master_seed": 10000042, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1969776424, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [1.7948916113589188, -1.993713502265253, 18.845832625472962])</answer>", "action": "('move', [1.7948916113589188, -1.993713502265253, 18.845832625472962])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [1.7948916113589188, -1.993713502265253, 18.845832625472962])</answer>", "action": "('move', [1.7948916113589188, -1.993713502265253, 18.845832625472962])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [1.7948916113589188, -1.993713502265253, 18.845832625472962])</answer>", "action": "('move', [1.7948916113589188, -1.993713502265253, 18.845832625472962])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAGw0lEQVR4nO3dTXITRxyH4f9Ixg5I/qiscplUcSUOxD1Y5gAcgCOwSpAMJFjMTBYjHKcqOzqoS7/nWam86lL5dXfPTI+HeZ4LyLA69QCAH0fwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEOTi1AOA/zZNNY41DFVV6/XxA99pmOf51GMAfhAzPN2Zplqt6t27evOmfvmlttt6+bK225pn8/z3EjzdWYL/7bd69aqurmq7rbdva7s99bDOgot2dGeZxv/6q9brenioT59qs/nn53wPwdOdJez7+xrHWq3q2bO6vT31mM6F4OnL40b9/r6qaprq6nK8vDztoM6H4OnOMNQ818ePVVXzXLfb6dQjOh+Cp0eHwzH4qrq9PulQzovg6dHDw3FJX1U3P/stbcZXSY8Oh/r06fj5TvDt+Crp0eHwZIa/cTuuGcHTl+VR74eHJ3t49+TaETw9enrR7ubmpEM5L4KnR/+6Sm+Gb0fw9Gi5Sr9aVVXd3Z14MOdE8PTocKgvX6YleEv6hgRPjx6+zFW1Xld9W9J7b0MTjsfSo89/DlXHu3H28A2Z4enLcnJmv6/6NqsLviHB06Ml+Kqqmr36oiHB05dlht/tqqqmuVbDdHFh+96M4OnR8TD8WDeb6WJ96tGcEcHTo2VJP011c1Nrv6Tt+C7pzjwfl/RVdXO3Wl84PNOM4OnOOD4Nfr1277gdwdOdafrnbOz19fHxG5oQPN0Zx9p9uy13eyv4lgRPd6ap9rvjrbjHGd5L6ZsQPB1ZHq2bxnn/x7gUfn1dF/bw7Qie7oxj3e/mwVG5/4Hg6c401+5+WA1VHqRvTfB053AYHsb1sqRfZnhnY1sRPN3Z76tqeNzDl+DbETzdeXJUTvCNCZ7uHA/DV1VNL55rvSXB050PH6qqpqmqpqtLwbckeLpzPAw/1rPVcPns1KM5L55poDtL8PNc27v15fMqj9m1Y4anO48X7bbburw86VDOjuDpzuPZWME3J3i68xj8ZlNXVycdytkRPN3ZfTsqt9mY4RsTPN3Z/z4uHx6Dd9GuFcHTnd2H4wxvD9+c4OnObn+c0O3hm3Mfnu7sP66WNfx2W8PgQfqWzPB0ZMn74+fVPNcw1PJPppbPNCF4+nJ/X3d39eJFTVNtNlVV43jqMZ0RS3r68tNP9fp17ff1/n39+mtVeWttS8NshwQxzPB05+vXqqp5rvW6VjadTZnhIYi/nxBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BDkb/1E8G8IuvBVAAAAAElFTkSuQmCC", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAGw0lEQVR4nO3dTXITRxyH4f9Ixg5I/qiscplUcSUOxD1Y5gAcgCOwSpAMJFjMTBYjHKcqOzqoS7/nWam86lL5dXfPTI+HeZ4LyLA69QCAH0fwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEOTi1AOA/zZNNY41DFVV6/XxA99pmOf51GMAfhAzPN2Zplqt6t27evOmfvmlttt6+bK225pn8/z3EjzdWYL/7bd69aqurmq7rbdva7s99bDOgot2dGeZxv/6q9brenioT59qs/nn53wPwdOdJez7+xrHWq3q2bO6vT31mM6F4OnL40b9/r6qaprq6nK8vDztoM6H4OnOMNQ818ePVVXzXLfb6dQjOh+Cp0eHwzH4qrq9PulQzovg6dHDw3FJX1U3P/stbcZXSY8Oh/r06fj5TvDt+Crp0eHwZIa/cTuuGcHTl+VR74eHJ3t49+TaETw9enrR7ubmpEM5L4KnR/+6Sm+Gb0fw9Gi5Sr9aVVXd3Z14MOdE8PTocKgvX6YleEv6hgRPjx6+zFW1Xld9W9J7b0MTjsfSo89/DlXHu3H28A2Z4enLcnJmv6/6NqsLviHB06Ml+Kqqmr36oiHB05dlht/tqqqmuVbDdHFh+96M4OnR8TD8WDeb6WJ96tGcEcHTo2VJP011c1Nrv6Tt+C7pzjwfl/RVdXO3Wl84PNOM4OnOOD4Nfr1277gdwdOdafrnbOz19fHxG5oQPN0Zx9p9uy13eyv4lgRPd6ap9rvjrbjHGd5L6ZsQPB1ZHq2bxnn/x7gUfn1dF/bw7Qie7oxj3e/mwVG5/4Hg6c401+5+WA1VHqRvTfB053AYHsb1sqRfZnhnY1sRPN3Z76tqeNzDl+DbETzdeXJUTvCNCZ7uHA/DV1VNL55rvSXB050PH6qqpqmqpqtLwbckeLpzPAw/1rPVcPns1KM5L55poDtL8PNc27v15fMqj9m1Y4anO48X7bbburw86VDOjuDpzuPZWME3J3i68xj8ZlNXVycdytkRPN3ZfTsqt9mY4RsTPN3Z/z4uHx6Dd9GuFcHTnd2H4wxvD9+c4OnObn+c0O3hm3Mfnu7sP66WNfx2W8PgQfqWzPB0ZMn74+fVPNcw1PJPppbPNCF4+nJ/X3d39eJFTVNtNlVV43jqMZ0RS3r68tNP9fp17ff1/n39+mtVeWttS8NshwQxzPB05+vXqqp5rvW6VjadTZnhIYi/nxBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BDkb/1E8G8IuvBVAAAAAElFTkSuQmCC", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAGw0lEQVR4nO3dTXITRxyH4f9Ixg5I/qiscplUcSUOxD1Y5gAcgCOwSpAMJFjMTBYjHKcqOzqoS7/nWam86lL5dXfPTI+HeZ4LyLA69QCAH0fwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEOTi1AOA/zZNNY41DFVV6/XxA99pmOf51GMAfhAzPN2Zplqt6t27evOmfvmlttt6+bK225pn8/z3EjzdWYL/7bd69aqurmq7rbdva7s99bDOgot2dGeZxv/6q9brenioT59qs/nn53wPwdOdJez7+xrHWq3q2bO6vT31mM6F4OnL40b9/r6qaprq6nK8vDztoM6H4OnOMNQ818ePVVXzXLfb6dQjOh+Cp0eHwzH4qrq9PulQzovg6dHDw3FJX1U3P/stbcZXSY8Oh/r06fj5TvDt+Crp0eHwZIa/cTuuGcHTl+VR74eHJ3t49+TaETw9enrR7ubmpEM5L4KnR/+6Sm+Gb0fw9Gi5Sr9aVVXd3Z14MOdE8PTocKgvX6YleEv6hgRPjx6+zFW1Xld9W9J7b0MTjsfSo89/DlXHu3H28A2Z4enLcnJmv6/6NqsLviHB06Ml+Kqqmr36oiHB05dlht/tqqqmuVbDdHFh+96M4OnR8TD8WDeb6WJ96tGcEcHTo2VJP011c1Nrv6Tt+C7pzjwfl/RVdXO3Wl84PNOM4OnOOD4Nfr1277gdwdOdafrnbOz19fHxG5oQPN0Zx9p9uy13eyv4lgRPd6ap9rvjrbjHGd5L6ZsQPB1ZHq2bxnn/x7gUfn1dF/bw7Qie7oxj3e/mwVG5/4Hg6c401+5+WA1VHqRvTfB053AYHsb1sqRfZnhnY1sRPN3Z76tqeNzDl+DbETzdeXJUTvCNCZ7uHA/DV1VNL55rvSXB050PH6qqpqmqpqtLwbckeLpzPAw/1rPVcPns1KM5L55poDtL8PNc27v15fMqj9m1Y4anO48X7bbburw86VDOjuDpzuPZWME3J3i68xj8ZlNXVycdytkRPN3ZfTsqt9mY4RsTPN3Z/z4uHx6Dd9GuFcHTnd2H4wxvD9+c4OnObn+c0O3hm3Mfnu7sP66WNfx2W8PgQfqWzPB0ZMn74+fVPNcw1PJPppbPNCF4+nJ/X3d39eJFTVNtNlVV43jqMZ0RS3r68tNP9fp17ff1/n39+mtVeWttS8NshwQxzPB05+vXqqp5rvW6VjadTZnhIYi/nxBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BDkb/1E8G8IuvBVAAAAAElFTkSuQmCC", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "cbf14ed32e863ed3ac03040f0ba9dcaf2dadecae1042256a2d4dee227a9a2d85"}
{"episode": 59, "episode_seed": 1693840116, "split": "val", "timestamp": "2025-09-16T00:39:14.762904", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x145549a674c0>", "max_steps": 10, "abs_size": 336, "master_seed": 10000042, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1693840116, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-21.709583745628773, -23.01200561915505, 57.3280254987699])</answer>", "action": "('move', [-21.709583745628773, -23.01200561915505, 57.3280254987699])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-21.709583745628773, -23.01200561915505, 57.3280254987699])</answer>", "action": "('move', [-21.709583745628773, -23.01200561915505, 57.3280254987699])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-21.709583745628773, -23.01200561915505, 57.3280254987699])</answer>", "action": "('move', [-21.709583745628773, -23.01200561915505, 57.3280254987699])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAIqklEQVR4nO3dT4zcZR3H8e9vZraQ8KcNxEBJiB5KN3AgxoghWqJXEltaQoVeOIABtYpCgEC0TQ0Q2xA5QEhBU8JBaDClYNuLHkj0QAiNYMRIohT0YEHgRLBJd2Z+Pw+zXVcDhD/F/fN5vY6bSfZ3ee/3eZ55dqbpuq6ADL2FfgDg/0fwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEGSxBN911XUL/RCw3C2W4JummqaqZA+fogUOfm6w79xZu3dXVTWN5uHTMljYX9+2NTNTe/bUtm01GnXDYd10UzMJfjLwgZOo6RZunrZt9Xr1/PO1bl2NRtXr1Xjc3Xtv3XprMx5Xr6d5OMkWcknfNNW2tWZN/eD73eTvztRUc/vt3a6dXb/vGA9OvoWc8FXVddU0NRrV9m3dT3Y2vV71+9W23Y931A9/1My9ADgpFvjQbjLk+/26+55m+7aubWs4rKpm2/basWP2BeY8nCwLPOEn5sb43Xd3O3Y0bTv7wzvvrLvuqsny3pyHT25RBF8n3n5vmtq1q9u+rRm3VVXjcd12W91zT/X7VVW9xXJpAJaqxRJ8VXXd7PL+vvu6O+5oJmf4w2HdfHPt2qV5OAkWUfBV1XU1HtdgUPffX7fcUm1bU1M1M1Pf+2730/uaqanZd/KAj2dxBV8n7t71evXQQ7V162zzw2F968bugQeagebhE1h0wde8/fyePbV1ax0/Xv1+jcd13XXdgw82p56qefiYFmM3c/9Ic/319fDDdcYZs3v7Rx5pbrihe+edyZ28hX5KWIIW44SfmDvDe+zx+s63u3ffbfr9Gg5ryzXd7t115spmsvIHPrzFG3zNO8N74on65vXtv471Jmd439hcP/t5rVxpbQ8fzaIOvuY1/+STde217bFjvRUramamNm2qRx+tM8/UPHwEiz34mnduf+BAbdnSHTvWDAY1GtX69fXYL+oMzcOHtgRCaZrq9arrasOG2revOfvsGo2q36+DB2vz5vbttzpnePAhLYHg53RdXX557d1b55zTTdb5v/5Nb8s13etHu8n7dsAHWwJL+vlGoxoM6plnass17Ztvze7nv/bV9rHHe+edV+Px7A1c4D0tseDnzvB+99vuqqvat97un3JKHT9e6748/uW+3urVjf08fIAlFvzEZJI/+2xtumL85tv9yd3bS7803v9Uf/V5zvDgfS3J4OvE5+E991y3aWP7xj9nm7/kC+3TB63t4X0t1VHY61Xb1qWXNgcP9j732XY4rKmpOvxCb/367tVXyxkevKelOuEnJpP8xRe6zVeNj7zWnxo0w1FdfHHt21cXXGBtD/9raQdfJ87t//THbuOVzZEjNTm3v+iibv9TNb3WGR78lyUffJ1o/uWXa8OGeuWV2ebXrhkdONSfnm7s52HOchh/g0G1bV14YR06VNNru5mZWrGi/vLKYP3l45f/3PX7NRot9CPC4rAcgq+avXs7PV0HDtRF06OZmW5qqv762mD918cvvdRN7t4DyyT4qmqaGo9r7XTz9IH+5y9uh8NuaqqOvNbfeEX74u/bwcC5PSyLPfx8k/383//WXblp/MIf+oNBMxrV+eeP9z/Z++IlPtqedMst+DrxXt3Rf3Qb17eHX5y9k3PuZ0YHDvUnzftOC2Itw+DrRPNvvN5tuqJ97nBvxVQzM6xVq+rw4VqzxvfYkGv57OHn6/erbevc1c3+X/XWfaWbGVZVXXZZnXXWQj8ZLKjlOeEnJrdujh6tq6+uVatq7946/XTjnWjLOfia288frdNOq5Ur1U66ZR581X9u1Ksdln/wVTX5/mmX6iEieGDC1IMggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocg/wbDs0Qz51zfswAAAABJRU5ErkJggg==", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "f0ba2d46026baed0403d5dfb2ab9c2800dbf6af72ebe47d8498e5df12fef5d5c"}
{"episode": 60, "episode_seed": 3201670768, "split": "val", "timestamp": "2025-09-16T00:39:15.376410", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x145549a674c0>", "max_steps": 10, "abs_size": 336, "master_seed": 10000042, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3201670768, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-10.747559418286826, 7.297798388619132, 1.6454040084388264])</answer>", "action": "('move', [-10.747559418286826, 7.297798388619132, 1.6454040084388264])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-10.747559418286826, 7.297798388619132, 1.6454040084388264])</answer>", "action": "('move', [-10.747559418286826, 7.297798388619132, 1.6454040084388264])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-10.747559418286826, 7.297798388619132, 1.6454040084388264])</answer>", "action": "('move', [-10.747559418286826, 7.297798388619132, 1.6454040084388264])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "b907e6fee2f6cc1095b94b3e6655627209924b9467cd9805119a4f7e360ed42b"}
{"episode": 61, "episode_seed": 2937587138, "split": "val", "timestamp": "2025-09-16T00:39:16.323992", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x145549a674c0>", "max_steps": 10, "abs_size": 336, "master_seed": 10000042, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2937587138, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [0.6472959514038373, -1.2479314895813092, 12.8688870354556])</answer>", "action": "('move', [0.6472959514038373, -1.2479314895813092, 12.8688870354556])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [0.6472959514038373, -1.2479314895813092, 12.8688870354556])</answer>", "action": "('move', [0.6472959514038373, -1.2479314895813092, 12.8688870354556])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [0.6472959514038373, -1.2479314895813092, 12.8688870354556])</answer>", "action": "('move', [0.6472959514038373, -1.2479314895813092, 12.8688870354556])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKvklEQVR4nO3dbYhVdQLH8d+5DyOlro/VZJNkUdibFbMgLLUsnKBGBS1NSEo0LcctXyg+rIgbQyVMZZqMVkPOC4VSSdcyiRBzKiFWtBh2IDHWVRkxSaWwce45Z1+cMw9lLduS9874+37whVzuwBm43/N/OOfMDeI4FgAPmVIfAIDiIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgJFcqQ+gZOI4/U8QlPQ4gCIyHeHjWEGQ/gvDUh8NUCyOwSe1NzfrrbfU1qZsVm1tpT4moCjsgk9m8j/9pHnzNGeOZs/Wt98qn1ehUOojAy4/r+DjWFGkINDy5dq3T716qaFBVVXatUu5XPoG4ArmFXzH/tz11yufV2urysrU1KTHH9fSpSoUFASKY7LHFSuI/T7dyRr+0081d66am5XJKIokadw41dVp+HBJCkNls6U9TOCP5zXCJ5JxfuxYNTZq5sz0xXxe+/bp3nv1zjtp7azqceVxDD4RRRo0SJs2acMGVVSorU1lZTpzRk89paef1okTyuW4YocrjeOUvkOyXM9kdPCgli3Tnj0KAmUyCkPdcYdqavTQQ+nbuDkHVwbr4CXFsQoF5fM6e1avvaZVqySprEwXL6pfPy1cqJUrJaV7+2SPns49+ETHFt2ePaqu1pEjyuXSNXxlpdau1a23dk4HgJ6Lz68kZbNpz5WV2r9f06entefz2rNHY8dqy5Z0ts9OHno0gk8lM/Y4Vnm5tmzR66+rvDzdyWtp0YwZWrBALS3K5bgPFz0YU/pf6pi6HzigZcu0d2862w9D3X23amo0fnx6Zw5LevQ4BP/r2tqUz+vMGa1erdWrJalXL7W2atAgLV6sxYsldvLQAxH8byoU0hvsd+7UggU6dqxzJ6+qSuvWaehQSYoidvLQYxD8f9MR84kTmj9fO3ZISrMfMkTr12vSJKnLqQHo5hib2iVX5H9++ktqj2PdcIPef18vv6xrrlGhoF69dPKkJk/WokU6fZqdPPQYjPCX+LWlecdO3v79WrJEn3/euZM3ZoxeekmjR7OkRw/ACN/+EPz581qzRi0tymQurTYpuVDQmDHatk3PPacwVBiqrEz792vKFK1Zk/4c5090ZwTfHnx9vZ5/XnfdpXnz1NR0abhBkK7ey8v16qt67z1de60uXlQup5YWLVyoRx/VqVPpuSJ53hbobgi+PfijRzVwoI4f14YNGjlSEyfqk0863xCGyQo/l0un7lOn6osvVFmZ7ttns9q6VaNHa/duSdyTh26KNXwXhw+rvl579+rrryVp1iy9/fbPnpWLIkWRslkFQfJyFOnFF1Vbq++/Ty/UB4GWLtWiRerfn917dDsE367jAZqTJ7V9uz76SK+8ottuUxyrtVV1dbrpJk2e3OXNmTgOJAWBPv5Yy5fryy+VjP9RpAkTVFOjO+/kKj26F4LvIooUhsrnJemHH9S7dzqeb9umqVN11VW6/35VVemJJ9S7d8cPJcP48eOqqVFdndT+dG1FhZYv17x5Ek/Uo9tg9Okik1E+ryhSW5v69Oncc89kdOONunBBH36oZ57RqFFaskTHjiU/lOzkVVTEb6zTpk0aPFgXLyqf1/Hjqq7WzJn67rt08s+pFSXHCP8bug7KcawLF7Rzp9av18GD+vFHSerTR1OnqrZWAwcqjiMFmShSNm7+Z6Z6QZDs9yXnguHD9cYbGj++ZL8K0IHgf6fGRr35phobdfSoKirU3Kyrr07+3n2cy0kKFIWt0cq/ZdeuC86fT6f3QaAXXlB1tfr1Y3qPUiL4/1nXP3nzzTdqaNAtt+jJJ9NF/Nq1OnlSjzwS33NPciX+gx3xX1dmDh0OOnbypk3Tli2dX2sHFB/B/05dN/bUfofNqVMaMUKnT+u663TffaqaWHhsei6f+de/tXKFNm2SpCDQihVatYoRHqVE8P+XJPtsNh2sz51Tba02btSpU5KUy+nPIwpTHsvNn9XWd3BDfbzgL8G4cdr9QawMraOUCP6Pc/q0tm9XXZ2ampKn58I/DcjWvqzZc/5xoO3GYflrr1O6Wc+X2qBECP4y2L1bGzeqsVFnz8Z/3xU8VCmFUjZuaQnKyyV13o7L5B7FRfB/qK4L9M8+06FDevZZBUEsBV99pblzNWWKHnhAI0dKSr/X5tcezgMuE4K/DJJN+Y7b6JPba6dN07vvStLQoZowQZMn6+GHS3iM8ETwl00YKoqUz6fD/oEDamjQ5s06d06S+vbVqFGaMUPTp6tvX/buURwEX0RhqGPHtHWrNm7UkSPpi5Mmqb5eAwbwvTYoAj5hxZI8hzNsmBYtUlOTNm/Wgw+qf3/dfrsGDFAYUjuKgBG+uH4xdW9s1JAhuvlmHqNFcRB8iXBBHqVA8CUVhumXVAJFQfCAEcYWwAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABI/8B+FvmY8HmkVYAAAAASUVORK5CYII=", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "cae891d97946354fe5edda3f01bd22e011ef72254afbfcecd1fec61bd91c8fe1"}
{"episode": 62, "episode_seed": 51844655, "split": "val", "timestamp": "2025-09-16T00:39:16.935779", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x145549a674c0>", "max_steps": 10, "abs_size": 336, "master_seed": 10000042, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 51844655, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [0.8399935917774736, -3.0422884800026115, -48.76934769337319])</answer>", "action": "('move', [0.8399935917774736, -3.0422884800026115, -48.76934769337319])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAALN0lEQVR4nO3dXYhV5QLG8WetvWcqjRIyE6GPizIIJ6WSFEetJhU/QvuwFBMs+9BSNB0jzIsgukmkUrwRITIoQ6oRlUZjjDGSqCilULASSUfNxkFSqpnZa61zsZYz6tHT6RzHPbOe/+9Kt3tgMew/77ve993LIEkSAfAQlvsCAFw6BA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGAkz8EnSbmvAOhm8hl8mnoQ0DxwlnwGHwQqlbR/P80DZ8lb8GneBw9qyhSNHq2mJgWB4rjclwV0D7kKPooUBNq1S9XV2rJFhw7p+ef111+KIsZ5QMpZ8OlgfsUVuvpqSSoWtWWL1qxRRQWDPCBJQZKvsS+KVCjoiy80caJOnVKSqE8f1ddr6FCVSioWy319QFnlaoSXVCioVNKIEaqtVRQpDNXSotpaHT+uQoFxHu7yFrykYlFJomXLNHasSiVVVmrHDq1YoSAo95UB5Za3KX0qSRQEOnBAd9+tY8eyzbnNmzVxYvZPgKccjvA6feTmppu0cqWKRRUKkjRvng4fljiBB2P5DD4VRXroIT35ZLZcd+CAFi5keIe1fE7pU3GsMFRzs8aP1zffqLJSbW1atUrz5rFiD1N5Dl7Kwt62TVOnZrt0/fqprk7DhmUbeICVPE/pJRWLKpU0dqxqaxXHqqzUr79q6VKdOqUw5GYednIevE7v0i1dqjFj1NqqYlGffabXXpNYvYOfnE/pU+lW3I8/qrpazc0KQxUK2rhR48axSwcv+R/hdXqX7pZbtGKF4lhJotZWPfdc5xY9YMIi+FQc6/HHNWeOokiVldq/X/PnZ68DJlyCT0fy9GZ+yBC1tSkMtWGDVq/Ojt8DDizu4Tuku3QNDZo8Wa2timP166f6eg0ezC4dLLiM8KliUVGkmhotXqxSSWGoo0e1YIFaWngwDix4BS8pDFUq6cUXdc89KpVUUaHGRq1cqTCU2KhD3nlN6VPpVty+fRo+XC0t2bdrNm/W/fdnp3GBvHL8dKcLeAMH6q23FIYKArW2as4cHTtG7cg53w94HGvaNM2apfZ2VVTo55/1wgtKEkVRua8M6DKOU/pUOns/ckQ1Ndq7Nzt1v2aNnn6aFXvklm/wOv3Ey61bNW2aTp5Ukuiaa/TJJ7rzTppHPvlO6SWFodraNGaM5s7Nnnj52296+WX9/rvCkF065JB18EGgigoFgV59VaNGZU+83LpVb7zBGXvkk/WUPpXu0u3Zo5EjdeKEkkQVFdqyhV065BAf52wwv+02LV+uOFahoLY2LVig5maJozjIF4KXTv8fVU88oZkzs+N3e/Zo8WKGd+QNU/pM+mtoatKkSdq9WxUVam/X2rWaPZsVe+QHwXdKv0u3aZMeeUSlkpJEAwaovl6DBnEzj5zgU9ypUFAU6YEHVFubLd01NWnRIv3xh8RzMpALBN8pCLLt95deUnW12tpUKOjTT7V8uaTs+RlAj8aU/lzp7P377zVypE6eVKGg3r1VV6fRo5nYo8fj83uudJCvqsp26eJYJ05o7ly1tPAoe/R4BH8eafNPPaWZM7MnXu7dqyVL1NbGM63RszGlP7909n7woO67Tz/9lL3Y2KhRo3iUPXowRvjzC0NFka6/XqtWKQzVt6/efFPDh0uidvRgjPAXlP5igkBr1+qGGzR2bLkvCPi/Efzf6JjApw/GAXo0gv976UOvOF2LHCB4wAiLdoARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwTfNZKk3FcAnAfBd5n2dsVxuS8COEuQMBZddEmiIMj+3N6uMFShUNYLAjLFcl9A7qS1L1umXr306KO6+ebOF4FyY4S/qKJIhYJ27lR1tZJEAwfqrrs0daomT1YQZNmnv3D6RzlwD39RpRn36qUHH9Tll2vfPr33nqZN06236tChzubTt0URa3u4xAj+ogpDSRoyRB9+qL179corGjxYUaQrr9RVV2W1t7Tol18kqVBQEKi9XVFU3quGD6b0Xe+DD9S3r2pqFEUKAi1cqPXr9eyzqqnRkCHq00eSSiUFAWt76GoE35XiuHMCH8cKQx0/rgkT9NVXkhSGGjdONTVZ+UDXI/iul87Yw1BBoD//1Lffavt2ffSRdu3K3nDjjRo6VDNmaMqUs9bzWdvHxUbwZXLkiHbv1rp12rRJp05J0pIlev3180Sent4JWW3BRUDwl1wUZaO9pDjWkSPasEHvvKN339WgQUoSlUpatEhVVZoyRddem70zvcnv+EHgf0LwZXLe3fhSScWi1q/X9OmS1L+/pk/XxImqqlK/fmW4SOQOwXcDHfGng//27Vq9Wp9/rubm7A2jR2v8eN17rwYP1mWXZT+SJMzz8U8RfHe1c6d27NDGjfryy+yVgQP1/vu6447sPF+Kc3v4Jwi++znzJv/oUf3wgz7+WG+/rQED9N136t1bQaBDh9TUpGHDOn/qzC1A4AIIvltKkmxxPh3J41iHD+vYsc7hff58rV2r22/X7NmaNEnXXZe9k508/EcE372dc6/e8ddx47RtW/Zinz56+GE99piqqtS/f7muFD0CwfcQHffqHQfy6+pUX6+dO9XUlL1n2DA984xmzWKQx4UQfA/39ddqbFR9vRoaJGnGDK1bl80CyB7/huB7pvR8TsezdI4f1+7damjQhAkaMeKsZXzgDATfk6Vre0mi4uknF6Vf0QEugOBzgXM4+O8QPGCEMQEwQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASP/AvxMLF4rs4vXAAAAAElFTkSuQmCC", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [0.8399935917774736, -3.0422884800026115, -48.76934769337319])</answer>", "action": "('move', [0.8399935917774736, -3.0422884800026115, -48.76934769337319])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAK3klEQVR4nO3dTYxdZR3H8d+5M0PfCOJ7A4iYYrUybdGAlFCspgsCmoghviAbExNdmRgTdy5cuzXuTIw1UYzxLW6ICURKqQgo1IoFFEFspRLbVa3SmXuPi3NsQVtmbm25c/v/fFYzJ3eSJ8355nnOc849bdq2DVDDYNIDAF47godCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgz17bpm0nPQgYh+DPXtMkyYkTGQ4nPRRYHsGfvePH0zS56KLMzEx6KLA8s5MewBT7+tfz6KN5z3ty883ZsSNzc2nbftqHlalpXYaelbbNNdfkwIEkueOO7NqVtWsFz0pnSX+WDh/On/6UVasyM5PNm7NmjdqZAoIfW7ck2rMnL72UxcW0bd773jSNrTumgODHNhqlbXP//UkyHObyy3PVVUlM70wBwY+tadI02bu3//Waa7JhQ5IM/Fuy4jlJx9O2GQxy8GAOHeqPbNqUdeuyuGiGZwoIfjyjUZI8+GCOHUuSwSBbtnjkjqkh+PF0wT/0UI4fT5LLL8/WrWka63mmg/N0DN2Nt+Ew+/b1R664Iu9+d7/Oh5XPeTqGts3sbJ599tQF/MaNWbMmCwsu4JkOgh9Dt57/7W/z/PNJMjeXbdsS+/NMD6fqGLqduf37869/Jckll+TGGxPBMz2cqsvVtpmby+Jifv/7/sjrX99v0QueaeFUXa5uen/uuezf3x+5/vo0Tb/Oh6kg+OXqwn722TzzTAaDNE0+8IHEE7VMFcEvV7duf/LJnDiRwSBt2wdvPc8UcbYuS3eh/tJLeeSRJFlczNvelne+c9LDgjEJfgxHj+ZXv+p/3r49c3MTHQ2MT/DL0u3YHT6cp5/O3FyaJjt2THpMMD7BL0u3M/foo/2vbdvfgfedGaaL4Jelu/22Z0+SLCzkqquyfv2kxwTjE/xynTiR3bv7qf6mm/K61016QDA+wS+tW7f/+c957rnMzibJDTdk1aqMRm7CM2UEv1wPPJAko1FmZjI/n7iAZwoJfmld2L/4RZIMh7n66lx55UQHBGdL8EtrmrRtHn64/3XLllxxReIZO6aQc3YJ3YX6U0/lxRf7I/PzWbXKWyuZSoJfQree3727f4nd6tWZn3f1zrQS/BK6L8n98pdZWEiSK6/M/Hz/anqYOoJfwmCQEyfyxBP9r+94RzZsyGjkAp6p5LR9NcNhZmZy4EAOH+6PbNqUmRkX8Ewrwb+abj3/2GN98KtX5/3vT+zPM7WcuUt7/PH+Av4NbxA8082Ze0bdWyv/8Y889VR/ZP36bNiQ4VDwTCtn7hl16/lnnjn1mtobbpjgcOAcmJ30AFau7mb7H/+Yv/yl/9/jbr458dZKppkZ/vROvm3+iSf6/1JudrYP3nqe6eXkPaPBIMeO5de/TpLRKBs29I/Qw/QS/Ol16/m//e3Ua628xI4LgOBfzcGDOXQoF12UJB/84IQHA/8/wZ9etzPXfSV2NMrsbK67LvHSC6ac4E+vabKwkAcfTJLFxWzalDe+cdJjgv+b4E+jm8aPH8+ePZmdTdNk+/ZcfHHinhxTzn34M3ryyRw50v98442ZmfElOaae4E+jm8bXrMmnP539+3P0qLdWcoFoWmfxUv7wh1x2Wdat65/Agekl+DNq2/6FdpbxXDAEv4S27Sd2czsXAMFDIVarUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoR/PnRtpMeAZyG4M+bhYWMRpMeBLxC05qLzrm2TdP0Py8sZDDIzMxEBwS92UkP4ILT1f6Vr2Tt2nziE7n66lMHYdLM8OfUcJiZmezdm+3b07bZuDHXXZePfzwf/Wiaps+++wfXP5PgGv6c6jJeuzYf+1hWr87TT+e7382nPpV3vSsHD55qvvvYcGhvj9eY4M+pwSBJrr02P/xhDhzIV7+arVszHObii3PJJX3tR4/m+eeTZGYmTZOFhQyHkx01dVjSn3/f/37e9Kbs3JnhME2TL34xd9+dz38+O3fm2mtz6aVJsriYprG3x/km+PNpNDq1gB+NMhjkyJHcdlsefjhJBoPcckt27uzLh/NP8Odft2IfDNI0+ec/85vf5L778qMf5fHH+w+8/e25/vrcdVduv/0V+/n29jnXBD8hL7yQffuya1d+9rMcO5YkX/5yvva100TePb0zsNvCOSD419xw2M/2SUajvPBCfvCDfPvb+c53Mj+fts3iYr70pWzenNtvz5vf3H+yu8g/+YdwVgQ/Iae9G7+4mNnZ3H137rwzSdavz5135sMfzubNectbJjBILjiCXwFOxt9N/vfdl298Iw88kL//vf/Ajh259dZ86EPZujWrVvV/0rbW+YxL8CvV3r3ZvTs//Wkeeqg/snFjvve9vO99/fN8Hc/tMQ7Brzwvv8g/fDi/+11+/ON861u57LI89ljWrUvT5ODBHDqUbdtO/dXLbwHCGQh+RWrbfnO+m8lHo/z1r3nxxVPT+xe+kG9+M1u25LOfzUc+kre+tf+kO3m8KsGvbP91rX7y11tuyc9/3h+89NLccUc++cls3pz16yc1UqaC4KfEyWv1kw/k/+Qnueee7N2bQ4f6z2zbls99Lp/5jEmeMxH8lHvkkdx/f+65J/femyR33ZVdu/pVgOz5H4KfTt3zOSffpXPkSPbty7335rbbctNNr9jGh5cR/DTr9vbaNrP/eXNR9xUdOAPBXxA8h8PyCB4KMSdAIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwU8m+iJI0LBKkYMAAAAABJRU5ErkJggg==", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [0.8399935917774736, -3.0422884800026115, -48.76934769337319])</answer>", "action": "('move', [0.8399935917774736, -3.0422884800026115, -48.76934769337319])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "7316857f10fbcc12e25dbec1ca04511641bf1a515d43c1fb3c8360788fd7f417"}
{"episode": 63, "episode_seed": 4025322284, "split": "val", "timestamp": "2025-09-16T00:39:17.558887", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x145549a674c0>", "max_steps": 10, "abs_size": 336, "master_seed": 10000042, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 4025322284, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-0.3411366821913831, 1.3978287237251503, 22.808974413833994])</answer>", "action": "('move', [-0.3411366821913831, 1.3978287237251503, 22.808974413833994])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAALRUlEQVR4nO3dW4hV5R/G8Wfttfc2lQq0MbNSCDQRkw4gkxZllFCpKJZJmdqB0LAUR4wOXhhRRtDBUjNHncEDlOGklhEUXqR1oRVB0UVRgqRTZpGah9l7r9XFWowW9a//tGcffL4fvEjbF4vBr++7fuudNUEcxwLgIVPtCwBQOQQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwSP+hHH1b6CukfwqAdRpFJJQVDt66h7BI/aFscqFJTJKAzV3q6XXtJ331X7mupYELNNQu378Udt26aXX9bnn+umm7R9u7LZal9TXeKrhloVxwoCHTqkLVvU0qIPP5SkfF4XX8zNfJexwqOWJH8bk3v1KFImow8+0NixiiJJmjJFs2ZpzJhqXmGdI3jUhjhWFCkM0/+OY2UyimMdP64bblA+r8WL1dionj2rfaH1jeBRA4pFhaGCQIWC9uzRM89o2DAtWaJSSWGogwfVp0/6b0GppEyGcX2XETyqKo5VLCqXk6Rdu9TSopYWFYtqaNCXX6qhId3Y64+7fXQVQztUVRAol9PHH6u1VevX67ffJGnkSN1zT9p5Z+GkXg4Ej4pLxu/J0v3113rhBb31lg4ckKQhQ/TQQ5o4URddlH6YzsuKLT0qKIoUBGnDyf35p5+qsVGFggYM0IIFuv32NPVCQdkstZcdwaMiokhRlJ6WOXBAUaQLL0wncA8+qN69tXCh+vVLPyml+3mUG8Gjm50+ltu3T1u3askSXXaZ2tqUz/95DU92++g23MOjOyXLSS6nQ4f0+utqbtZnn0lSFKm9XYMGnTozl3RO7d2M4NFtkuW6VFJzs9at065dkpTLacYMTZ+u88+XKLzSCB5llRySS4bwYajduzV/vnbulKQg0OTJmjdPjY3pKRpUHMGjTOJYpdKfR+v9+mnvXoWhrr9eixZp1Kj0Zr5Y5NvdqoKhHcqhVJKkMFSxqB07dNZZuvbatOo1a9Srl6ZOTT95+pM5VBzB4785fQi/Y4fWr9eaNRo4ULt3q1+/U1N3DsbWBrZV+G+Ss7EffaTmZm3apKNHJal/fx07ln4geTUVz9VrAys8uqrzbOyzz+rtt/XDD5I0eLCamjRhgi64oNrXh7/ACo8uSQ7G7typO+/Uvn2S0rOx06apoaHaF4e/RfDokuTtFFdeqSFDFEWaOVPz5um886TTXl+B2sOWHl2VbOn37NHZZ+vSS9M/5GxsbSN4lEOyw0fNY0uP/yb55jZqrxOs8IARJiuAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIPx8eldb5A8qDoKrXYYkVHhUVxwqC9FcUVftq/BA8KioIdOSINm1SsahMRqVStS/IDMGjQuI43cwvWKApU9TUpMOHFYY0X1EEj0qIY0WRgkCLFum115TPa+lS3X239u9XGLK3rxyCRyV0zuf69FEYqqND+by2btX48frqK2UypyZ56FZBzFcalZJM7N58U/feqyNHlM+ro0MDBmjjRl13Xdo8o/tuxQqPyklivu02vfuuBg1K1/n9+3XLLVq/Pv2/bO+7FcGj0qJIo0frvffU2Jg2f+yYpk/XU0+pVFIQMMbrRmzpUQWlksJQ7e2aO1dvvKFsVlGkKNL99+vFF9W7d7r5R9kRPKojaf7oUT35pJ57TpKyWRWLGjtWra3q35/muwXBo2qiKJ3Pv/KK5s5VHKdjvBEjtGGDhg9njFd+BI9q6lzG29p033365Rf16KGTJzVggNau1dix6V19hllTmfCFRDV1TuYnTdK2bRoyRCdPqkcP7d+vyZO1apXCMD20g7IgeFRfcqh+9Ght3aoxY3TypHI5HT2qBx7QE08oDBUEnMwpD7b0qBXForJZHTyopiatW5du46NIM2ZoxQr17MkYrwxY4VErslmVSmpo0KpVevzx9EFdLqfWVk2YoO+/5xF9GbDCo7Yko3tJK1Zo/nydOJGO8YYPV0uLrrpKxWK6yUcXsMKjtiQP6qJIs2dr40b175+O8b74QuPGacuWdCPAOtU1BI+akzyHK5U0aZI2b9aIEekYr71dU6dq2TJls6e+ux7/F4JHjUrejXH11Wpr0803q1BQNqsTJzRnjh59VJkMo/uu4B4eNS05gfvrr2pq0urVymSUyahY1F13aflynXNO+gH8S6zwqGnJOn/uuVq5UosWSVKxqHxeGzZo4kR9+63CUMVita+yfrDCow50Hqp/9VU98ogOH05P3Q8dqtWrNWpU+gwf/4jgUTeSgzfvvKM5c7R3r3I5FQrq21crV2ry5PSdeTyu+9/Y0qNuJAdvbr1Vmzdr5EgVCsrldOiQpk3T0qWM8f4Vgkc9Se7Yr7hCbW0aNy4d3Xd0aN48LVzIC3P+GVt61J/kjv34cT38sJqbJaXb+zvu0LJl6tuX0f3fInjUpc4TuIsX6+mn1dGRvjBn1Ci1tGjwYMZ4f43gUa86v3lu7VotXKiffkrX+UsuUWurrrlGpVJ6Y49OBI/6luze339fs2frm29Oje6XL9eUKbwk688Y2qG+JWO8G2/Uli2nRvc//6yZM/X88+mDOha1TgSPupfcvQ8bpu3bNX68CgUFgTo61NSkxx5Ln88jQfA4EyRvtu/bV21tmjUrfTjXo4cuv5wfXPcHzDFxhkjCDkOtWKGBA7V8uebPP3UbjwRDO5xROqd0n3yioUPVq1f6WyQIHmcgXnf5d7iHx5mJ12D9JVZ4wAgrPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRn4HdlYFZizxAGAAAAAASUVORK5CYII=", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKpUlEQVR4nO3dXYgdZx3H8d/Zs7skvts2sRprFU2MVVEKmqRWqNW0tYit1hQR8QUvFEEoKl7phRdiBUHEGy9Cidqb6EVbV4VATIppqjVbQwyKEFBL1MaUQNWkas85c7yYcTeJtWiyr/1/PuQiTGaXIZzvzjPPPDvTG4/HAWqYWO4DAJaO4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4Fk9xuPlPoJVT/CsBk2T0Si93nIfx6oneFa28TiDQSYm0u/nxIl8/ev53e+W+5hWsd7YMImV7+TJzMzkG9/IkSPZvj0/+lEmJ5f7mFYl/2usVONxer2cOpX77suuXTlwIEmmp3PFFS7mL5gzPCtJ+2lsr9WbJhMT+fGPc8MNaZokuf32fOITedvblvMIVznBszKMx2ma9Pvd38fjTExkPM7f/57rr8/0dL74xWzdmrVrl/tAVzfBswIMh+n30+tlMMjsbL785Vx1Ve68M6NR+v089lguuaT7WTAaZWLCdP0FEzzLajzOcJipqSQ5eDC7dmXXrgyHWbcuv/pV1q3rBvY5d7TPhTJpx7Lq9TI1lZ/+NN/6Vu6+O2fOJMmb35yPfrTrfK5wqS8EwbPk2un39tR97Fi+9rXce28efTRJNm3Kpz6VW2/NS1/a7azzBWVIzxJqmvR6XcPt9fkvfpGtWzMY5CUvyWc/mx07utQHg0xOqn3BCZ4l0TRpmm61zKOPpmmyYUM3A/fJT+bZz87nPpf167s9k248z0ITPIvs7Gm548fz/e/nzjvz+tfnnnsyPX3+Obwd7bNoXMOzmNrTydRUTp3K7t3ZuTOHDydJ0+TEiVx55fyaubZztS8ywbNo2tP1aJSdO/Od7+TgwSSZmsqHP5wPfSgvelGi8KUmeBZUu0iunYTv93PoUD796TzwQJL0erntttxxR7Zu7VbRsOQEzwIZjzManT+1vn59fv/79Pu57rp84Qu55pruYn449Otuy8KkHQthNEqSfj/DYfbvz5o1eetbu6rvuivPelbe//5uz7PvzLHkBM/FOXsSfv/+3H137rorL3tZDh3K+vXzs+4Wxq4MhlVcnHZt7IMPZufOfO97OX06SS6/PE880e3QPprKffWVwRmeCzW3NvYrX8kPfpA//zlJNm7MZz6Td787L37xch8fT8EZngvSLox94IF84AM5fjxJtzb2gx/MunXLfXD8V4LngrRPp7j66mzalKbJRz6SO+7IZZclZz2+gpXHkJ4L1Q7pZ2fz3Ofm1a/uNlobu7IJnoXQjvBZ8QzpuTjtL7epfZVwhodCzKxAIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwbMo2gfhsNIInkUxMZHBIKNRPFFpRRE8C69pcupUpqbS73cvjJb9CiF4FlIb9tGj2b49H/tYvvvdnDnTZT+3Q/uHZeEhliyk9rH0n/98vvSlJFm7NuvWZdu23H573v72PP/583s2Tfe6Co+xX0qCZyG1n6arrspvfnP+P73gBbnhhrzvfdmyJevXZ82abvtgkIkJ5S8RwbPABoN89avZuzfHjnVvnUsyOTl/Jf+85+Xmm3PjjXnDG7J5c9auTf791mnlLzbBs1gefjgHDuShh3Lw4Hz509MZDrubdpdemuuuy9at2bYt27Z1b6Mz1F9UgmfhDYfp9bq30YzHOXo0R45k37788Id57LEk6fUyOZnBoNv/8svz2tdmy5a885259tpzvlX78RT/QhE8i2I8TtOkaTI11W158sn86U85ejT33puZma78JL3e/KT9pZdmw4a84x3ZsSNbtpzTeTso6PXEf1EEz+Jqy89Zr58bj3P6dA4ezO7duf/+nDyZJ544/6ump3PFFbnllrz3vXnNa3LJJfNf61L/YgieJdLefj/vFD0YZO/e3HdfDh3Kb3+bxx/vtvf7GY26v7/ylbn11mzfnk2b8opXdBtHozRN+n3vof//CJ7lcd7F+T/+kX378pOfZHY2Dz2U06eTZGIik5N58slun82bc/312bYtb3rT/Avp2/kCJ/z/keBZZk2T0SiTk12xf/1rHn44s7PZty9792Y4TNKdyecm+TZvzhvfmGuuyU03ZePGbuPcB1n5T0PwrAjjcXejfm6S7/HHc/x4Hnww99yTvXvnR/hnT/JdeWU2bszNN+c978nLX37ON2waM3xPQfCsLO3c/txdvST//GdOnsyePdm9O7Oz+dvf5uNvTUzkOc/J616XHTvyrndlw4ZuMQ//SfCsUE85yXfiRGZmMjOTX/86jzzSDfhz7mn/LW/Jbbfl2mvzqlflhS9c6sNe4QTPKvCf1+d//GP27MmBAzl8OEeOdBsnJ5PM/xT45jfz8Y9nOOy2E8GzurR39cfj+YYfeSQ//3l+9rPs35/Dh7uNa9Zkejrf/nZuuUXw5xA8q1I7t98u0W394Q85diz335+ZmRw+nKuvzp49ueyyNI179fMEz+rWTvK1a+9af/lLfvnLnDmTm25S+/kEzzPB3IN05ub2eUqC55nGL9g9DbMZPNNI/Wm4voFCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+F/AsiHr7dR3PJoAAAAABJRU5ErkJggg==", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-0.3411366821913831, 1.3978287237251503, 22.808974413833994])</answer>", "action": "('move', [-0.3411366821913831, 1.3978287237251503, 22.808974413833994])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-0.3411366821913831, 1.3978287237251503, 22.808974413833994])</answer>", "action": "('move', [-0.3411366821913831, 1.3978287237251503, 22.808974413833994])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAIQUlEQVR4nO3dXYjldR3H8e//nDPmukK6XoQXJZm6+BQW3qu14JagqKCsq6CsKZqWmBBRmqU3JrlYWPhUYipaVliUF+MmUvdemLnsireClbUwu+rMOf9fF3scpzv3aR74vF63M3/4M/Ce3+PhdK21AjIMVvoFgOUjeAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieNaS1qq1lX6JtUzwrA37O++66rqVfpW1TPCsdpNJtTbt/M036+qr66abqqr6fmXfa03qmhkSq1XfV9/XaFRVtWt3e/zR9tBD3d593YYNtWNHnXNOTSY1HK70W64pgmc1aq3G45qZqaraubOee6795MF69z/dcFDDUc3P1+WX1/PP13g8/XfAx+SvxarT9zUY1MxMvf12PfpIe+rp2r27qrqZmVpYqMl8v3nz4KqrqrUaDj+a7fNxGOFZLRa35arqvfdq+/Z69tl67bW2mHpVf+65dce36sLNg+OOW8lXXbsEz8prrfp+uhpfWKjHH6/t29uuXV1VjUY1HldV+9xn290/GHz1otqwoapM5g+S4FlJS9fqe/7bZl/q7r5r8vobg6ruw9TrpJPabd+sG27sjjmmqqrvHc4dPMGzYiaT6roaDGrvXM2+1D/w4/rr36pqcNRRNT9fVbVxY11xRd1+ey1O4K3YD5HgWQGt1WQynZP//nf9E090f/hjqxp8uFavz3y6bb2mu35bnXxy1YfbeBw6wbOslu7Mzc7WQz+rF//U5he60Wh66r5+XX/Lrd3WrXX257uqWlio0cioftgInmWydJR+9dW6997asaP27JnG3FrNDPtt2+rWb3RnnNlV1Xhcg4GB/TCz0ckRN5lUVzUYVlXt3Fn3/6h/+pnBBx9UVXVdtVbHHtsu3NR//57h2Wd99IhN+CPBCM8R1Pc1mUw34V9/vT31q9q+vX0wP9i/VzeZ1Pr1dcEF7Y47uvPOmz6ydM7PYSd4jpTFi+4736inn2oPP1L//FcNh91gWAvzVdUuvri79tq69NIqh23LRfAcfouHZ++8Uz99sP/1892uXVXVzYxqYVxV/eYLu+u/VpdcMj1st1ZfNoLnsFk6G9+3rx54oJ58snbvblXdaKbGC1XVvviF9t3vdV/+UvfJ46pcmFt2gucwWHquPjfXnnmmu+++euutqqrhqCbjqqpTT+3vvLO77LJu/fqqqvG4hkNz+OUmeA5JazUZ12imqurdf7fZ2br3nv7v//i/u7EbN9YN1/c33zI4+ujpI2VbboUInoPX99PPqL7/fr3wQnv45/XyK1XVLd6NPf302rKlbr65TjihysXYVUDwHKTFizS//U37xS/rzy9O78aOx9VaO/FT7cabBlu21GmnVVmrrxqC54AtDtQv/6Xdf3+98krte68bDqcD/rpPTG67fXDN1XX6GV1Vzc/XaGQTfrUQPAdmf+179tR119XsbM3NTW/LVdW6oydbr+q+/Z3ulFO6WjLhZ/UwzeJgDAa1d2/NzdXMTC0stOOPr00X9Hf9cHjWmdNf8Pm21ckIzwHbH/OOHbVpU61bVxd9pf/6rYPzz5/+1M7caiZ4Dtj+pOfm6rHH6sQT68orq5yrrxGC51BNJlVlrb42WMNz8PZ/J4yBfQ0xwkMQG6kQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQ5H8gCeWvNHJUPwAAAABJRU5ErkJggg==", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "2e6cb659b42f4b8f65f99957b556f999ee56d2c9e210b0dfbaa401bed24276ca"}
{"episode": 64, "episode_seed": 1533278907, "split": "val", "timestamp": "2025-09-16T00:39:18.531200", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x145549a674c0>", "max_steps": 10, "abs_size": 336, "master_seed": 10000042, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1533278907, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-0.2525562651198953, 1.6979263171582695, -10.160643592269594])</answer>", "action": "('move', [-0.2525562651198953, 1.6979263171582695, -10.160643592269594])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-0.2525562651198953, 1.6979263171582695, -10.160643592269594])</answer>", "action": "('move', [-0.2525562651198953, 1.6979263171582695, -10.160643592269594])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKM0lEQVR4nO3dT4hdZ+HG8Wf+xUlJY5o0mdg06oxpU9OKGykqQjEtFVf+AZdiF0JLpaCILq0bKQiKVDBoWxTcqWBXLkRRpFp1EZBKG5MoNTWiaRPaJqmpk5n7W9zrJJlfjUZnMonP58PlknAPMydDvvd9z3vPnDM2GAwCdBhf6x0ALh/BQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBr4LBYK33AF6b4FfBYJCFhbXeCXgNgl9p8/MZH8/ERAYDQz1XGsGvnOGo/rOf5V3vymOPZWwsY2OJGT5XEMGvkMEg4+P529/y6KP55S9z773ZuzdPPJHBIGNjGQyyuLjWuwiCXynDwXx6Ovfdl717MxjkJz/J3r25774cOJCxsYz7UbP2xgYmnCtoOJ4nefTR7NuX/fuT5Prr8+lP5yMfydzc6FVYI4JfacO1uvHx/OUveeSRfP3rOXo0Sb75zdxzz+h4fvi+IH4uO8Gvjvn5TE0lyVNP5Wtfy/79efzxvOENyzdbmhHAZSH4VbO4mMXFTE5mYSEvvpgtW3L2bCYn88gj+eEP88UvZnZ2tJnRnstF8KtsYSETE0myuDia5999d556Kps355OfzL33Ztu2JJmfz+Sk7Fltlo5X2dIZOEvL+B/+cN7ylpw4kc99LnfckW99Ky+9lKkptXMZGOEvo6Xsn346X/1qvv3tnD6dJO9/f+6/P3fdlenptd1B/ucJ/rJbWs/76U/z8MP5/veTZHIyv/lN9uw596ZgPY9VIPi1sLAwOhXn9On86Ef5zGcyO5vHH8/69RdsZj2PlSb4NTI82Xa4nnf8eMbHc911oxW+L30p09P52MeyYUOS0do+rATBr6nhD384hg/DfuKJ3HVXXn01d96Zz342d96ZiYnMz2diwsm5/Pf8H1pT58/Yx8czGGT9+tx9d5L8+Md53/vy8Y/nySczNTV6Ff47RvgryXChbnEx3/teHn44P/95kszM5KMfzac+lRtuWOv946on+CvM8PycJMeO5bvfzUMPjU7Ff9vb8otfZMOGc79vm1jP41KZ0l9hhlP3s2ezbVs+8Yn86ld54IFs2JA77sg11yT/iHz47HfsuURG+CvV+Z/DP/lkbr01GzeOTtrbty9vf3ve857EOblcGsFf8ZbKHy7j79uX++/Pxo154IHcc0927bpgG7goU/or3nAZbynpmZnMzeXll/OFL+SDH8yXv5wXXzx3VA8XZYS/Ch0+nMcey1e+kjNnkuTBB/Pgg6PmjfNclBH+ajMYZNeuPPRQfv3rfOAD2bgx73xnxsZGp+vCRRnhr0JLH93Nz+fIkezcmXXrDO/8OwR/1VI4l86U/qrlLhdcOsFf5QzyXArBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxG3NFl5wxvD5x9XnXe3KK4cfj121S0sjC5OMbydnP5ZQ4JfScMrUzzzTPbvz/btueGGzMxk8+YLthlehDo5F7/+uWxM6VfS2bNZty7f+U4+//lcc0127MiOHbnxxuzYkdnZzM2Nnod3i16yNP8f0j+rR/Aradjq0aMZH8+ZMzl0KIcOnXt18+Zs3pzrrsvMTG66KW99a3bvzp49uf76f/oFh9ehz4W3n4D/mOBXzGAwuq3ziROjP/z97xdscOJETpw499epqUxPZ3o6mzblllty223Zsye33pq5uUxPj+4fuWzCPxhkYSGxHMh/yjH8ShpeZu748TzzTJ5+evT4059y8mROnsypU6NcL+51r8tNN2XPnuzZk9tuy9xcNm3Kxo259tqsW7f82w2XA85fEYSLEPzl8Ic/5PDhHDyYgwfz3HP5619z7FiOHcvJkxdsNj6eiYksLi5/X9iyJTffnF27snt35uYyM5OZmWzblq1bl3+j+flE//xzgl8Vw2Pv4WN8fHRR6SUvv5wjR/Lcc6PnP/5x9Dhy5ILNxsczNZXBYPmhwcRE3vjG7Nw5et65M7OzedOb8uY3Z/365buhec4n+FV3fvzDz+0mL1w5WVzMCy/khRfy/PP5859z6NBoLnDgwPIpwMRExsZG0/jzbdqULVuydWu2bs3sbG65JTffnN27c+ONq/tP46oj+DUwvFXc8DE2trz/JK++mtOnc/p0jh/PgQOjtYDf/jbPPpv5+X99k+jJyVx7baan84535BvfyPbt525dQTnBr72lz96GzxMTr73ZwkJOncrvfneu/8OHc+pUXnklr7wyOnpfMrzT3Hvfmx/8INPT5vaM+Fhu7f3/T9eWvQkPX52YyOtfn9tvz+23n3vp6NFz8//f/z7PPz86OnjppSTZvj3T05mfX36qD7WM8FeZpbnAcNBeNlE/cybPPjta/zt4MO9+dz70odF95SGCv9oNFwKXDgqM5Fyc4P+nLOt/YsJaHRcQPBTx/g9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9F/g/kt5T3NdBpHwAAAABJRU5ErkJggg==", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-0.2525562651198953, 1.6979263171582695, -10.160643592269594])</answer>", "action": "('move', [-0.2525562651198953, 1.6979263171582695, -10.160643592269594])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAIZ0lEQVR4nO3dXYhndR3H8e85//8sGfkIYqEgq4WICIZakoSoCAqueJFQF0bmbhezlUlabCbqpkPRarAmW66wFBa4KBKRuRfbw4XmlUgtbBltXq09WemF6+78zzldzOy4EbEbzs5Dn9eLuZv/xe9i3vN7OL850wzDUECGdrkHACwdwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwS+mvq/JZLkHAf9dMwzDco/h/03XVdNU63cpK4+fysW0f3/t2lWjUbVtzc4u92jgPwh+EQzD/NfmzXXDDfWFz/e/f3mYmpr/FqwclvSLYBiqaeq55+rqq2syqa4bzjmnufXT/R13tmvWzH+gqppmeYcJZvjFMFfys8/WoYPVdTUeN/v21V1fbT94Uff00zWZVNNU01TXLfdAiWeGXzR9X0/u7B+YqV//pqlqxlM1ma2q/rpr6777mks/1FTVZFJt6zyPZSP4RTO3sD/wVj30zf77jzcvv1xVzXhck0m11X3utnbDhuaCC6qqJpMaj5d5tGQS/GLq+2qbqqZ+99vatm3Y/li9+WYzNVVdV31fa9fW+vU1PV2nnFJdV21rV89SE/wiG4aaTGruiP75Xw3fenB48qmqatesqUOHqqouvnjYuLG55Za3Py97lozgj4uFuzcHDtTu3cOmTbVnT1NVcyv8qan66Ee6B74+uuyyqsNP9WzsWQKCP16Gofq+RqOqqkOH6uGH68EH69VXq6pGo+q6Go+G9euHO77UnntOVdXsbI3HZnuOL8EfX0c+gd+/v2ZmaucTw1//VqNRU1VdN5x26rBpU/PxTzRnnfVvvyPgeBD8Eun7+UX7L38xbNtWT+wcqtqpqbkbuP0llzSf3Tjc/Mm2bWsyqdHIVM9xIfils3Ce1/X14x/1W7Y0zz1fVc3h7Ifrrmtuv72uuWb+w+VyHotN8Ett4SH8a6/VU08O9947vPqntg5v7E8+udatq/vvr7PPrpI9i03wy+DIvfqf/1Izm7vvPd6+/nrTNPOFn/ye7s4vt9PTdepp8/fzLPJZFIJfNkc+gX/xxdq8uXbtqrfeqoUV/nkf6O+5d3T9uuHEE5u5e/jO83iHBL/8FsrfubO++53hZz+vqubwRZ1h3fXD9Mbm2mvnp3p3cnknBL8i9H31fY3H9fo/6wc/rIe29H/4Y9M0zXhcs7P17hPqppv6L97RXnhhlct5vAOCX0FmZ+fv5L7yyvDY9tryjf5gN2qb6qtqGM48s7n55tq0qU46qaqq7+f/6haOneBXlr6vYZjfq+/dO9z1lXrmp8PBg+1oXN2kqurcc+uee+qmj9W7Tqiq6jobe/4Hgl+JFm7pVNUzPxm+dn+98MLbV/GrhiuvrLvvriuuaOZenjf3Fj04KsGvXAsP4buuHnmktm+vPXuqauEYv9/wmWbDrTX3ag1TPcdC8Cvdwl59377asaO2bh3eeKMZj2sYquuG9713+NQtddttzRln2M1zdIJfBY78G/uXXhq2bh127Gjr7al+OP/8ZmambrzRAT5HYee3CjRNLbw256KLmkcfbXfvrg9f2s29+n481ezdW6efvtyjZDUQ/KoxdzI397j+qqvq+RdGj3y7P+/9/WS2pqfr8sur3LrnaCzpV6WF87y//6NmHqiNG2vtWut5jk7wq9iRT+/gWPh5WcXatoahZmf9QyuOlRkegpjhIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIci/AAV7/Jsib6SaAAAAAElFTkSuQmCC", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "c546fbf8331b3263119d91a778787c575f33e374db671a0ca8158dd5d3c90e59"}
{"episode": 65, "episode_seed": 2998687051, "split": "val", "timestamp": "2025-09-16T00:39:19.144407", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x145549a674c0>", "max_steps": 10, "abs_size": 336, "master_seed": 10000042, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2998687051, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [0.8096646739462833, 0.21559737661145614, -4.0611395293344685])</answer>", "action": "('move', [0.8096646739462833, 0.21559737661145614, -4.0611395293344685])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [0.8096646739462833, 0.21559737661145614, -4.0611395293344685])</answer>", "action": "('move', [0.8096646739462833, 0.21559737661145614, -4.0611395293344685])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAALPUlEQVR4nO3df2hV5QPH8c+5u2vNnylmlFlRlpiKRlZEiYORYqCUiFAkpSx/YLSKkiKI8g8TTKgkoz8ilZCSVZbGFKoJEoYa0TQW0g+aNbDBSsk59d5z+uM5375/6e7d7r1zft6v/7Tdy8Hue8/znPOcc6MkSQTAQ2agDwBA5RA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgh+EEuSZTLKUkG+jgwOEQJn5XBK0kURQN9EBhMGOEHrXxeUaRDh7R+vU6eHOijweBA8AOp77OrMLafOqV167R6tZYtUy5XyiPDJYrgB1Lf5+NJokxGu3Zp1y5Fke68U1VVrOTRK4KvqCRRkqizU3PnatMmdXb2aWAOw/vx43rlFZ05o/vu04oVLOZRCIKvqFxOUaTNm7V7t1at0u2365tvJCmfL+ZdokhRpA0b1NamESP04osaMiRd0gMXRPCVkySqqtLJk/r4Y0nKZFRTo6uvLvJce5i3HzyojRslaelSzZypOFZVVVkOGpcWgq+cXE6ZjJqb1dqqTEZxrPvv1003KZ9Xpqj/Dz09eu459fTo5pv17LPpOgEoAMFXSJIom9W5c9qxQ93dShJdcYUaGhTHxdQe5u3792vfPkl6/nmNG5fOHIACZAf6AFyESfe336q5WVGkJNHMmZo6Vfl8MbVGkeJYd9+t5mbt2qXHHivy9XBH8BUSRcrn9dlnOnFCVVXK59XYKKnIyXz46csv1+zZmj27HMeJSxtbayshnJZrb9c996ijQ0mi227ToUNFnlZPEnV1afTodJwv7lcFILGGr4wQ9u7d+v13ZbNKEj3zTDqxL0j4uRMntHixHnlEbW3FvBj4P4KvkLNn9frriiLlcrrxRtXXF/8WmzeruVnbtqm9PR3kgSIRfNmFkXjPHrW1qapKcawlS3TVVQVffg8/98svWrNGmYyWLFF9fbq1FigSH5qyC8G/+aYk5fMaPVrz5hUzQofL7KtX66+/NG6cGhvTVQH76lA8gi+vOE7vYf3663TdvWCBbr214JNuYVNOU5N27lQ2qyee0LRp6Q4eoHh8bsorBL9pk06flqThwzV/vqqrC9v5Hl58/LjWrNHZs5oxQytXcuEd/UHwZRQ22/z0k1paJClJdMcdqq9XPq9srxsgwkw+k9HatTpyRJddpldf1fDh6Z0zQJ8QfBmFYfyDD9LT6tmsFi7UkCGFLcD/C3vKFNXW6tFHVVfHuTr0ExtvyiXMx//8U/Pn68ABRZEmTNDBgxoxQirk0RdJki7gMxm1temaazRyZPmPGpc4ttaWSxiMv/pKBw4ok1GSaOFCjRxZ8Bo8TAmCSZPKeaQwwvywLMLq/dQpbd+e/s3QoVq5UlIBtYfV+/Hj2rhR3d3p2wGlQPBldPiwdu9ON9s88IDGjy/4lVGkl1/Wk09qxQp1dbGRFqVC8GUR5vDvv6+envQsW2NjYQ+qCEv/vXu1dauiSEOGaNiwIp+ABZwXJ+1KL/yLdnRo4kT19Cif15w5+uQT1db2dn4+jtNzdXV12r9fkydr3z6NGsW9cSgVPkZlEUV67z2dOqVMRlGkhoYCatf/lv5vvKH9+5XJ6KWXNGpU8U/AAs6LEb70kkTd3Zo6Vb/+KknTp2vPHo0d29s4HU7f//ijZs/WsWNasEAffcSeeZQWQ0eJhTV4U5N++y1N9aGHNHZsb+N0CLu7W+vX69gxjR6ttWvT9wJKh+BL6b/Z0rvvppfSbrhBc+cWcK4uXLU/fFhbtkjSCy9o4kRqR8mx8aaUwib5PXv0/feSlCSqr9eUKcrlVF3d24vjWNOna/t27dypxYu5DodyYA1fSuGLZZYu1datkjRypD79VLNmKZcr4G4ZboND+TGlL5kwvLe26osv0sn4jBmaNUtxfMHaw9X5v/9Oa+f3L8qJ4EsmRP755+roUBSpqkoNDYVttokirVqlxx/X0aNsqkNZsYYvjXDJraNDH36YNjthgh58MC3/vM6dU3W1tmzRtm2SVFenW27hi+JQPozwJZMkamnRkSPpI+eWLVNNzQVH6zhWdbXa2/Xaa5JUV6cFC/jeKJQVwZdAuKZ2+rTeeUeS4lgjRhRwoj1M9996Sz/8oJoarVun2tqKHC98EXxpJIm++0779qXPq1u+XGPGXPBpVGHe3tKiDRuUJGps1F13sa8O5cYavgRCpOF7JuJYQ4dq0aL0C6HPu7suLPSvvFJz5qi9XU89xbk6VADX4fsrjMo//6xp09LvgV60SFu3pgv4Cw3Y4T//8486O3X99dwhgwpghO+vMDd/++303rgQfE1NAftownxg2DANG1ahY4U9RpV+CafrurrU1JT2e++9mjWr4MV4+A3BE6xQKQTfL2Ev7ZYt+uMPScpmNW+exowp5rthoojJPCqGKX3fhUvmJ09qxw7lcpJ03XV6+GEeHo+LFx/MvgvD+Jdf6tChtPA5c3TttdwFg4sXwfdRkiib1ZkzampKnyU9fLiWL+fxc7io8dnso/A0mqNHtXdv+seZMzVtmiSCx8WLz2YfhaonTdLmzVq4UOPH6+mnpUK+QwoYOGy8KY3WVk2ezNIdFzuC76847u0RF8BFg+BLgzPzGBQIHjDCSTvACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGDkX5rW4PEs1eQ8AAAAAElFTkSuQmCC", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [0.8096646739462833, 0.21559737661145614, -4.0611395293344685])</answer>", "action": "('move', [0.8096646739462833, 0.21559737661145614, -4.0611395293344685])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "fd999b8c819549cb9876228f78f246088237cf7800a88fa42d1747bb895efcd9"}
{"episode": 66, "episode_seed": 4020358375, "split": "val", "timestamp": "2025-09-16T00:39:19.755680", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x145549a674c0>", "max_steps": 10, "abs_size": 336, "master_seed": 10000042, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 4020358375, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-230.81623655595004, 268.9150351480784, -13.871078534157732])</answer>", "action": "('move', [-230.81623655595004, 268.9150351480784, -13.871078534157732])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAIgUlEQVR4nO3bz4udVwHG8efOLxptI/6oZlFBQqC1uBCVaHFR0CwCLlJpQLAGEbtIiwshUFz4D7hx4aYISlYi0oKkRFNLVBrahkJAEZKG1FRIsKQ1ihhiS2fufV3c6yShEY06M515Pp/FMLxzhjkD873nvGfeOxqGIUCHuY2eALB+BA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9Ftmjww5Dl5YzHN1wZho2bELwjjIaqDCaTzG3R1zj4D2y5v/7JJEnOns3Bg/n+95PMFvaLF7O8fK32qpc5+KctusJfvZpXXsm2bdm1a7ax/+IXc/p0Dh3KgQO5447ZsPE4c3MZjTZwprCetmjwq8bjzM/n1Kns25dXX02SD3843/hG9u/Pzp0bPTlYb1s3+NXfazTK8nJ+8Yv88Ic5cSJ/+UuS3Hlnvva1PPhgPvaxvOtd18Zb7dnStm7wN/WrX+XJJ/PTn+bSpSR53/vyk59kz57ZRmB6ku9Uj62rJvjxOMOQhYUkOXUqTz+dxx/Pykp++9vs2JEky8tZWro2fhis9mw9NcFPraxkNMr8fJKcP5/Ll/PpT8+W9+99L4cP55FHcuBAtm2bjXeqx9ZSFvzU9RlPJrNPPvnJ/OY3SbJzZx59NF/6Uu66ayMnCWugMvip60/pxuMcOZIf/CDPP5+//S1JduzIww9n//589KPXtvr2+WxyxcHf1NNP54kncvRoXn89SbZvz3e+k4MHs7KS+fnZUz3TOwLYhBY2egLvGNNTvb17s3dvTp7Mz3+ew4fzxz/mtttmA1Zv/mOpZ7Oywt/o+lO9M2dy5kz27cviYpL8/vf56lfz9a/nK1+54TwfNg/Bv80wzN5js7qGT9fzQ4fy3e8myT335ODBfPnL+cAHrPNsLh4yeZvpCj8aZTK54T02992Xz38+7353zp7NN7+Zj388jz+eeB8Om4ng/7XVRX40yjBk//4cP54f/zgPPZT3vz+vvporVxLBs5nY0v/HJpNMJrNn9U6cyDPP5Fvfyu23b/S04BYI/hZdf6oHm43gb90wXHtWz6Edm4rgoYhDOygieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieNh4k0mGYT1+0MJ6/BDgZiaTjMcZjbKwXiFa4WG9TSZZWcnycubmsriYhYW88kouX06y5uu84GGdDMNsSZ+by8JCFhdz4UJ+9KM89lgeeCDPPJMk4/HazsGWHtbK6nI9Gs0+Tj95+eUcO5Znn83Zszl3LisrSfL3v9/wLWtE8PB/Nl3Jk8zPX7s4Huf06Rw5kp/9LH/4Qy5fno1JsrSUt95ap7kJHv4/hiHjcYYhi4uz1FdW8qc/5dy5HD2ap57K+fM32bHPz+e9780HP5h77kmSuTW+yR4N6/PfANiipp1PJllaml15442cO5eXXsqvf51jx3Lx4uz6wsLsFSHJ/Hzuvjt33537788XvpBdu9ZptoKH/9J06766b3/zzZw8mVOn8uKLee65vPba7PrSUlZWZhv4hYXs3p1PfSq7d+ezn81HPjIbMz3Jm97hrynBw//kypUcP55f/jK/+13OnMmf/zy7vrCQyWTW+eJiPve57NmTT3wi996bHTtmY5aXMxplbm7Nd/KrBA+3bDLJ3FwuXMi3v50XXsilS7l6dfal6SM009S3b8+ePdm3L5/5TD70obznPbMxKysZhszPr1/nqwQP/6XxOH/9a8bjLC1laSmj0ewJ2WHIaJRhyNxcbrvt2p5/+tXpkr5RBA9ra/UlYB1u0f8twUMRj9ZCEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDkX8ApaXYTgErNI0AAAAASUVORK5CYII=", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAIgUlEQVR4nO3bz4udVwHG8efOLxptI/6oZlFBQqC1uBCVaHFR0CwCLlJpQLAGEbtIiwshUFz4D7hx4aYISlYi0oKkRFNLVBrahkJAEZKG1FRIsKQ1ihhiS2fufV3c6yShEY06M515Pp/FMLxzhjkD873nvGfeOxqGIUCHuY2eALB+BA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9Ftmjww5Dl5YzHN1wZho2bELwjjIaqDCaTzG3R1zj4D2y5v/7JJEnOns3Bg/n+95PMFvaLF7O8fK32qpc5+KctusJfvZpXXsm2bdm1a7ax/+IXc/p0Dh3KgQO5447ZsPE4c3MZjTZwprCetmjwq8bjzM/n1Kns25dXX02SD3843/hG9u/Pzp0bPTlYb1s3+NXfazTK8nJ+8Yv88Ic5cSJ/+UuS3Hlnvva1PPhgPvaxvOtd18Zb7dnStm7wN/WrX+XJJ/PTn+bSpSR53/vyk59kz57ZRmB6ku9Uj62rJvjxOMOQhYUkOXUqTz+dxx/Pykp++9vs2JEky8tZWro2fhis9mw9NcFPraxkNMr8fJKcP5/Ll/PpT8+W9+99L4cP55FHcuBAtm2bjXeqx9ZSFvzU9RlPJrNPPvnJ/OY3SbJzZx59NF/6Uu66ayMnCWugMvip60/pxuMcOZIf/CDPP5+//S1JduzIww9n//589KPXtvr2+WxyxcHf1NNP54kncvRoXn89SbZvz3e+k4MHs7KS+fnZUz3TOwLYhBY2egLvGNNTvb17s3dvTp7Mz3+ew4fzxz/mtttmA1Zv/mOpZ7Oywt/o+lO9M2dy5kz27cviYpL8/vf56lfz9a/nK1+54TwfNg/Bv80wzN5js7qGT9fzQ4fy3e8myT335ODBfPnL+cAHrPNsLh4yeZvpCj8aZTK54T02992Xz38+7353zp7NN7+Zj388jz+eeB8Om4ng/7XVRX40yjBk//4cP54f/zgPPZT3vz+vvporVxLBs5nY0v/HJpNMJrNn9U6cyDPP5Fvfyu23b/S04BYI/hZdf6oHm43gb90wXHtWz6Edm4rgoYhDOygieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieNh4k0mGYT1+0MJ6/BDgZiaTjMcZjbKwXiFa4WG9TSZZWcnycubmsriYhYW88kouX06y5uu84GGdDMNsSZ+by8JCFhdz4UJ+9KM89lgeeCDPPJMk4/HazsGWHtbK6nI9Gs0+Tj95+eUcO5Znn83Zszl3LisrSfL3v9/wLWtE8PB/Nl3Jk8zPX7s4Huf06Rw5kp/9LH/4Qy5fno1JsrSUt95ap7kJHv4/hiHjcYYhi4uz1FdW8qc/5dy5HD2ap57K+fM32bHPz+e9780HP5h77kmSuTW+yR4N6/PfANiipp1PJllaml15442cO5eXXsqvf51jx3Lx4uz6wsLsFSHJ/Hzuvjt33537788XvpBdu9ZptoKH/9J06766b3/zzZw8mVOn8uKLee65vPba7PrSUlZWZhv4hYXs3p1PfSq7d+ezn81HPjIbMz3Jm97hrynBw//kypUcP55f/jK/+13OnMmf/zy7vrCQyWTW+eJiPve57NmTT3wi996bHTtmY5aXMxplbm7Nd/KrBA+3bDLJ3FwuXMi3v50XXsilS7l6dfal6SM009S3b8+ePdm3L5/5TD70obznPbMxKysZhszPr1/nqwQP/6XxOH/9a8bjLC1laSmj0ewJ2WHIaJRhyNxcbrvt2p5/+tXpkr5RBA9ra/UlYB1u0f8twUMRj9ZCEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDkX8ApaXYTgErNI0AAAAASUVORK5CYII=", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-230.81623655595004, 268.9150351480784, -13.871078534157732])</answer>", "action": "('move', [-230.81623655595004, 268.9150351480784, -13.871078534157732])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAIIklEQVR4nO3bvWtd9QPH8c9N0oc0rYMP0EEHq4OCg+Agzu3QrYgFQS0iOlRxULr4L7g4uIiodJSiIIJIFXEoiEtBF0vBh0WsIiJo+mCa3Ht/w72/pLUqrdDG5PN6cQjnnBzISbjv+z3nm3MH4/E4QIeZ9T4B4MYRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBTZpMGPx1leznB42Z7xeP1OCP4TBuOqDEajzGzS9zi4Cpvu1T8aJcnp0zl8OK+/nmQ6sH//fZaX12qvepuD/9ukI/y5c/nuu8zP5+67pxf2Dz+cr77KkSM5dCi7dk0PGw4zM5PBYB3PFG6kTRr8quEws7M5eTIHDuTMmSS54448/3wOHsyePet9cnCjbd7gV3+vwSDLy/noo7z1Vk6cyK+/Jsltt+Wpp/LII7nvvuzYsXa80Z5NbfMG/5c+/TTvvpv33stPPyXJzTfn2LHs2ze9EJjM5JvVY/OqCX44zHicubkkOXkyx4/ntdeyspIvv8zu3UmyvJytW9eOH4+N9mw+NcFPrKxkMMjsbJJ8+21++SUPPjgd3l99NUeP5tlnc+hQ5uenx5vVY3MpC37i0oxHo+nKAw/kiy+SZM+ePPdcHn00t9++nicJ10Fl8BOXztINh3n//bz5Zj77LL//niS7d+eZZ3LwYO69d+1S33U+G1xx8H/p+PG8804++CA//5wkN92Ul1/O4cNZWcns7PSpnskdAWxAc+t9Av8Zk1m9/fuzf38+/zwffpijR/PDD9m+fXrA6s1/DPVsVEb4y106q3fqVE6dyoED2bIlSb75Jk8+maefzhNPXDafDxuH4K8wHk8/Y7M6hk/G8yNH8sorSXLPPTl8OI89lltvNc6zsXjI5AqTEX4wyGh02WdsHnooe/dmYSGnT+eFF3L//XnttcTncNhIBP/3Vgf5wSDjcQ4ezCef5O238/jjueWWnDmTxcVE8GwkLumv2miU0Wj6rN6JE/n447z0UnbuXO/Tgmsg+Gt06awebDSCv3bj8dqzeibt2FAED0VM2kERwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUORufU+AbiOxuO1r5OVwSAzxcOc4NlIrgz4HzYnbU8WJgTPelqN8+/2XLq5OjgPBtfwI1ZWcv58zp/PhQtZXMyuXbnzzn93spvBYHzlnxz+q5aWcvZsFhdz9ux0OXduujn5urp57lyWlrK0lIsXc/FilpayvJwLF7JvX954Y71/jfVjhOcGWb3eniyjUc6fz++/Z3Exi4tXtbK8nOEwKysZDi9bWd28msHr66+nd/KdBM919+OPefHFabSXNjwcrvWfrK1cV3/8IXi4PiZpXbyYY8cu2z8zM01ucls+GmU0+je1z8xk69Zs25atW6fLZH3btmzZkm3bpps7d2ZhIbt2ZX4+d93VW3sEz3U1Seumm/68fzT6i4NnZjI/n/n57NgxXbl0c3Xn9u1ZWMiOHWv7/26Z8+q+gj8J19327dm7dzrSTpaFhbWVhYVs3z4djSfLZHMyUK9+a3b22n7oeJzh8LILh9VriuY3ArP0XHfjcX77LTMz2bIlc3OZm/s3F9WTeb6/DPhqNpkQPOtjdbruT/9p/9PKP6zzLwieG+FPrzLdrpfiuxluIIX/R3jIGIoIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHor8D0Mx8X4NB7DhAAAAAElFTkSuQmCC", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-230.81623655595004, 268.9150351480784, -13.871078534157732])</answer>", "action": "('move', [-230.81623655595004, 268.9150351480784, -13.871078534157732])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "697a949e2ee3c190243f3600a24f09c76c0aadd0608b41ec44a8c234b7beb589"}
{"episode": 67, "episode_seed": 690045891, "split": "val", "timestamp": "2025-09-16T00:39:20.368590", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x145549a674c0>", "max_steps": 10, "abs_size": 336, "master_seed": 10000042, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 690045891, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [2.845564639552002, 0.08195620233068882, 35.275749561373914])</answer>", "action": "('move', [2.845564639552002, 0.08195620233068882, 35.275749561373914])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [2.845564639552002, 0.08195620233068882, 35.275749561373914])</answer>", "action": "('move', [2.845564639552002, 0.08195620233068882, 35.275749561373914])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAK7klEQVR4nO3dXYgVdQPH8d/MOce0QkFrzS6WoBIML7zIolwVsTUpCDIys5fFLuxCg5TKlQ3SNqTsRXqh7MXCwgiitKjFStboJirb9EJsi81QWZC11V5sWc+ZM8/FzKP58Dw8e9zd8/b7fq6WvXF2PN/5z/znP3OCOI4FwENY6Q0AUD4EDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8yi2OFceV3ghX2UpvALzEsYIg/UFKf64TtfAnMcKjrIJABw+qt1dBUOVplKhYTP+k6j57IXiUTxQpn1dLi2bO1Ntvq69PxWKlt2lExLHCUL/9phMnqvwwRvAokyhSJqN33tE336i3Vy0tevVVhaEKhUpv2TAlcxL792vxYt11lwYGVCxW7ThP8CiH5IT3yBE995xOnVI2qylTNHt2pTdrRESRwlBdXersVEeHHnxQYSipOpsneIy6OFaxqDDU5s06cEC5nAoFLV6suXNVKChb6xPHmYyiSLfdppUrJem117R+vYKgOi9Xgrgqj0OoJ8nJfFeXFi7UsWMKAjU26rvvNGlSevFb85J7D0n2H32kXE4vvaTly5XPK5er9MadpQ52NqpaknQU6dln1denTEbFotradNFF9VK7lE7OZzJ66y1de63yebW1aedO5XLVNs4zwmN0JYPfZ59p4UKFoYpFzZqlr76ql9T/KflTe3q0YIF++UVTp2rLFjU1VXqzzlJ/ex3VJQg0OKjW1vQudTarp55SGFbnlNbwJOP85Zdr61ZNnKifftLhw1J1zd7V+oQJqloy5r38svbuVTarQkH336/rrjuz3q7eBIEKBTU1afNm/fGH7rgjvT9RNTilx2hJqj58WDNnpmtsGhu1c6emTUsn7evW/zqeVcFxro73OiosilQsat06HT2qTEaZjFau1LRpKhTqunbpzNMCcaxTp7RtmzZsUBwriip+es8pPUZFcoN91y5t365MRvm8rrlGLS31Prb/hyDQ7t26+26dd56mTNGyZSoUlMlUcJz32fcon+S69fff9cwzOn5cksaO1cMPq6HBKfik6iuu0PXXa3BQa9aos1PZbGUHeZN9j7JK7klv367du5XLKYq0YIFuvVVRVPvr6kqSTNq/8YauvFJ9fWpp0Y8/VvYWBZN2GGHJ8N7bq/nz1d2tMNTYsdqzR9OmVcOkVdkl1zZffKElS9Tfrxkz9PnnuvjiSm0OIzxGWBgqCLR5s7q705Vmq1a51i4pm1U+r+ZmbdqkXE5792rZMh0/Xqkn6hjhMZKST9OBA7r6ag0OKo512WXas0cTJ7oGr38/PJTJaONGrVkjSRs2aO3aijw5ZHVFhXIIArW2amAgXTb/+OPetUsKgnRfPPKIfv1Vhw5p0aL0QYKy7xdGeIyY5Km4HTu0aJEyGRUKuvFGffihxo2ro+dkhqNY1OCgokgXXnjWy/3K2DzBY2Qkn6OTJzV7tvbtk6Tx4/XBB5o/Pz0Q4IzkZP7QIZ08WeaFhxx1MTIKBQWBnn8+XTYfx1qyRPPnK5+n9n+I47T27m7dcovmztXPP6dPEZYFwWMERJFyOe3fry1b0tfUNTZq9er0hjzOOP1m254edXerr0+3366jR8vWPMFjuJKT+cFBvfCCDh5MP88PPKCpU53W1Q1dMoF30016802NGaN9+3TffTpxQlIZmud/A8OVDONff61331U2qyjSjBlasSK9FYX/InkN3p13qr1dkjo61NamfF4a9YfnCR7DkswxDwxo/Xr99Vf6yyef1LhxxvfhhiIZ5x96SCtWSNLrr+vTT9OXgY0mgsewJNek772nL79MX0e7dKmam71vvA9RECgMtXGjFi9WPq/+fokRHlUsWULW369HH03fyzxhgtra6vQNViMu2WXnn68XX9Sll2pwsAz/JivtcO6S5TTr1qm3N70sXb1aV11Vba91qmLJ5HxDg3bsSH8zytMeLLzBOUqW03z/vebN099/K4o0fbp27Uofeme6rgRlvP7hlB7n4vQ3L7S3688/VSxqzBitWqXJk1lXV7pkV3IfHlUreS/d++/rk0/SdXVz5ujee9M3OKFkmUx5ViwQPEpWLCqX09Gj2rQpHZkuuEDr1imbrbtvfa87BI+SJbPLW7fq22+VzapY1D33aNYsFtLWACbtUJrk89LTo6YmHTumOFZDg374QZMnM7bXAEZ4lCwI9MQTZ574eOwxXXJJpbcJQ8MIjxIkk/OdnWpuTqeW58zRxx9r/HhJjPA1gIU3KEEyRdfams7bZTJau1YTJnArrmZwSo+hSt4q/8or6upSGCqf19KluuEGnoGtJZzSY0iiSGGoI0c0b556ehSGmjRJnZ2aPr0iL1/FOeLIjP8v+VrEINDTT6unJ32yc/lyaq89jPAYkiT47m61t2vbNk2dqq4ujR2bfu0EagXBozTFojo6FAS6+WYeeq89BI8S/LNwaq9FXH6hBKe/OkHcda9NBI+SkXrtYpYeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRv4FydHf/Z8rU/oAAAAASUVORK5CYII=", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [2.845564639552002, 0.08195620233068882, 35.275749561373914])</answer>", "action": "('move', [2.845564639552002, 0.08195620233068882, 35.275749561373914])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "b03cb2f483e84add106031490f785027b5fa3faef510d33ec6e3e546b7ebd420"}
{"episode": 68, "episode_seed": 3118203831, "split": "val", "timestamp": "2025-09-16T00:39:21.319159", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x145549a674c0>", "max_steps": 10, "abs_size": 336, "master_seed": 10000042, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3118203831, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-2.5782251706483543, 1.162262978733351, -20.964686897127724])</answer>", "action": "('move', [-2.5782251706483543, 1.162262978733351, -20.964686897127724])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-2.5782251706483543, 1.162262978733351, -20.964686897127724])</answer>", "action": "('move', [-2.5782251706483543, 1.162262978733351, -20.964686897127724])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAK4ElEQVR4nO3dX4gVZQPH8d/MnHO2csW0do3MTFa9KSro70USRGEI0ZYSJmUEia4ZFVtSGUQFQpGS/VlKFCwTu4hMoSy7CboIi4LApAhad7uozVx2i3X3/J0uZjr63r347vnzzu/7uVwWZlj2e56Z53lmThDHsQB4CFt9AgCah+ABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOAzJ45VrapSafV5oB0FcRy3+hwANEmu1SeA6RPHCgKNjenoUY2OatkydXSkPwQkEXymVKvK5fT113roIU1M6MgRLVrU6nNCe+EePkOSkbyzU+PjGh3V8eOSxC0bzkDwGZIEf9ll6upSEGhwUCJ4/AeCz5AgUBxr7lzNmKE4Tkd44AwEnyFBoEpFUaQLLpCkoSFJqtVae1JoKwSfLclV/cKF0r/BA2cg+Gyp38ZLOnlSU1PK5biNRx3BZ9GCBZJUKun339Mbe0AS6/BZE4aSdMMNevFFLV6s2bMlsfEGdWytBYxwSZ9FcaxKRdVqq88DbYfgsygIlMspDHXqlMTeG5xG8JmT5L15s7q6tHGjJFWrNI8EwWdUqaSTJzU4qMlJ5ZiaRYrgM2rJkvRR2T/+kLiqR4rgM2rhQsWxTp7UiRMSwSNF8BmV7K49cYIRHmci+IyaM0czZ2pqihEeZyL4jMrntXix8nmNjrb6VNBGCD5zko20+by6u1Uu6+hRxTET9Ujwf5BR+bzuvFMXXaRlyxTHCkPeZgmxlz7LymXl860+CbQXggeMcA+fdadO8RQN6gg+i5KrttFRbdmi1av1/fcSL7eDRPDZlAQ/NqaBAR04oKNHW31CaBcEn0XJbPzs2brqKkWRfv1V+vdlOI3EdFD7I/js6uzU3LmqVjU83NAvk613HgTcN7Q7gs+i5MWV+bzmzZOk4WEVi1KjhuAg0Ouvq69PxaLCkCnCtsbGm4xKvlgyCf74cRWLmjFj2g+S7OU5cED9/SqX9eefGhhQV5cqFbb2tSlG+IxKBvOuLkkaGlKp1IgjBIHGx7VuXbrH54MPtGKFfvxRuRzjfJsi+IxKpujmzFFnpyYnNTIy7Ueo3ze8/LJmzkyb//JL9fbqiy8URczhtSOCz7QLL1RPj3p60nv46d5LHwQ67zytWaP9+3XJJSqXVSjop5+0cqXefTf9RCD7tsLW2kyrVjUxkXYZRY04Qhyn0wU//KAHH9Q336hQUKmkXE7PP6+nnlIYqlZrwpog/isEb6AeZcNUq4oijYyor0/796tQULmsONaGDXrpJXV2pr+AliN4TI9kGC+V9OSTeu01haGCQNWqenv1xhuaN49xvi0QfHYlhR07ps8+U62m/v5GHzD5VwoCbd2qTZtUqymfV7ms667Tjh26+mqabz2Cz65k3vytt9TXl34LTUdHo4+ZzNKFod5/X319GhtTR4eKRS1YoIEBLV+uWk1BwJs4WobP2+xKquru1rnnqlBId9Q3+PM9iblS0apVOnhQixerWFRHh4aGdM892rkzvdRnB26rEHx2JcHPn69ZszQ1pcHBph02ilStaulSHTqkpUtVLKpQ0MSE1q7VCy+oXE6n7tF8BJ9dSfAXX6zZs5XLNWeErx85ilSrqadHBw9q1SqVSooihaGee04bNmhsjF33rUHw2ZVcOs+dqyhSpaLvvpOa+ghr8uLM88/Xnj3q71e1qlpNuZx27tTq1frll/RCAM1E8NmV7HTL5bR6tR59VL296Q+bewrJzPwrr2j7dnV0qFJRR4cOHdJdd+nIkfRCAE3DLL2BSkVR1MKZ8VpNcawo0kcfaf16jYzonHM0NaWuLu3apTvuOL2eh0YjeBstfS99fbnu22+1Zo2OHUuX66JIb76pdesksUrfDPyBPbT6WyiCIL2lv+YaffqpbrlFxWL6FO369Xr2WU1OMo3XDIzwaKrkk+evv7Rxo/bsURgqDFWp6L77tG2burrYdd9YjPBoqmQab+ZM7dypZ55RraZKRYWC3ntPK1fq55+ZxmssRni0QJJ0GGrXLj3yiCYn04dqFy3Snj268Uam8RqF4NEa9VmFzz/XAw/ot9/S5mfN0u7d6Roi03jTjj8nWqP+PpzbbtPhw7rySpVKyuc1Pq6779b27WntTONNL4JHyyRP2sSxrrhCn3yi229XuaxcTkGgxx7TE09oYoLdeNOMS3q0XjIzPz6uTZu0Y4fCUFGkclm9vXr7bXV3c20/bQgebSFpvlTStm16+mlJ6cszrr1We/dqyRKm8aYHwaNd1Ifxffu0dq0mJtJpvEsv1d69uukmmp8GXCehXSRb8STde68+/ljz56tUUqGg4WEtX659+9I1fFbp/xcEjzaSjN61mm6+WYcO6frr0+b//lv3368tW05v0cXZIXi0nWQ17vLL9eGHWrEifXlGHGvzZvX16cQJia+mPlsEj3aUrMbNm6fdu/X446dfnrFjh776itv4s0fwaFPJpvrOTm3dqldfTV/b8/DDuvVWiam7s8UsPdpafQfuO+/o8GENDGjWLJblzx7BA0b4nMT/hzhmQW4aMMIDRhjhASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMDIP/PZz1GSCmlCAAAAAElFTkSuQmCC", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-2.5782251706483543, 1.162262978733351, -20.964686897127724])</answer>", "action": "('move', [-2.5782251706483543, 1.162262978733351, -20.964686897127724])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "acb015e316502acf8707b666d03e8c5cf6bd090ba50a1d0a85956e2bca46320a"}
{"episode": 69, "episode_seed": 2446600126, "split": "val", "timestamp": "2025-09-16T00:39:21.928693", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x145549a674c0>", "max_steps": 10, "abs_size": 336, "master_seed": 10000042, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2446600126, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-7.229113323162488, -12.471679467746464, -51.888112912339615])</answer>", "action": "('move', [-7.229113323162488, -12.471679467746464, -51.888112912339615])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAALZUlEQVR4nO3dX4gVdR/H8c/MGU3d3UcMWwkpVkWoyDKS/kFkZa5ISdiiGKVpiZrWRUR10U2Ed5GoSIGQEhWSVmx/UHLbikqycgmL/JdllklbqYVbiWdmnosZrZ6np9Z1ec7M+bxfdCFnb364vvvOn9+cCdI0FQAPYa0XAOD/h+ABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARgkexJInStNaLqF8Ej6JIU1WrCkMFQa2XUr8IHkURBIoi7dihI0dqvZT6RfAohDTVhx9q9my1tuqpp/JP0O+ClL9X1FSSKAx18KDa2rRliySNGqVduxRFHNv3PyY8aiwMFcc6+2y1tuZH9fv369lnFQSK41ovru4QPIqirU3nnKNqVXGsNWt0/HitF1SPCB61V6kojnXBBZo8WZKCQF1devNNVSqqVmu9uPpC8CiE7FLSrFkaNkxpqqNH9cwzkhQEXL3rTwSPQogiVauaOFGXXCJJQaDOTnV1qVJRktR6cXWE4FEUQaAw1MKF+d6bAwf0yivU3s+4LYcCSVPFscaN065dkjR2rDZv1rnn5rfucPr4W0SxRJEWL1aaKoq0e7c6O2u9oPrChEeBpKmCQN3dGjdOP/ygNNXll6uzU4MH5z/CaWLCo0CypJubNW+ekkSVirZu1ZYtXKjvNwSPYsmu0t16q844Q5LSVMuXKwgY7/2D4FEs2Y33sWM1a1b+tOzGjdqxgyHfPwgexRIEShINGqTp0zVkiIJA1aoef5yt9f2D4FE42ZCfOFFXXJFHvmmT9u9XGHJb/nQRPAonDFWtqqlJ06fnZ+8HD+rppxny/YDgUUTZjtq2Np13Xr4b5+WXdeiQooghf1oIHkWUPSQ/YoRuvDHfadvVpddey8/w0WcEj4KKIqWp7r5bQ4dKUhzrhRfU06NKhSv2fUfwKKjsxntLi1pblaaqVNTRoW3bGPKnheBRaEmi+++XpCBQT4+efz6/Oc+Q7xv20qPo4lhTpqijQ2GowYO1fbtGjZLE3ru+YMKj0LKD+SVLJKlSUU+PnnuOnbZ9x4RHoWVPwh8+rGuv1fbtkjRypHbsUGNjrVdWTkx4FFq2u27YMN15Zz7tv/lG69dL4tJdXxA8ii47Bp08WaNHK44VBFq16k8/Qu8RPIou+7LqsWN1003512B89plefZWt9X1B8CiHMNTMmTrrLKWpfv1Va9bwYum+IHiUQBQpjnXllbrqqnzIv/uutm7lTRWnjOBRDmmqNNUdd2jQIEnq7taLL3J/7pQRPMoh21o/darOPz8f8u3t+uKL/DVV6CWCR2kEgQYO1Pz5klSpaM8ebdqUf45eYuMNyiRN1dOjMWP0/fdKU112mTZu1Jln8iXWvcWER5kEgRob8zdVDBigDz7Q++9zrf4UEDzK5ORLZocOzW/CL18ucVTfawSPMjn5kPyMGYpjRZHeeEMffyyx6653CB4lkyQaMECzZuVffRPHWrlSIvjeIXiUTPYl1hMmaMqUfGt9e7u+/jr/HH+P4FEy2aspmprU1qaBAxUEOnRITz7Jl1j3CsGjfLIvsZ46VePG5Zfu2tt1+DCP0/wzgkf5ZF9i3dysqVPz3bW7d2vt2vxz/A2CRyllV+zuukvNzUpTDRyY77EP+Rf9t9hph7KKY1UqevhhNTRo3jwNH65KpdZrKjyCB4xEtV4AcFpODiw22/UGwaPc6PyUcIkDMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRgi+5NK01itAmRB8maVp/h/QOwRfZkGgMFQQKI5rvRSUA8GXUzbYjx3Tffdp7VpVKkoSRj3+UVTrBaCvgkDLlmnZMv3rXzp2TAsW1HpBKAEmfJlNmqTx4/Xzz7r3Xj36aK1XgxIIUo4DSypJFIbau1dz5+qddxQEWrJES5eqoUFBoCCo9fpQREz40gpDJYnGjNGGDZo2TWmq9nbt26cg4Hwe/wsTvuTSVEGgo0f14IOaNk2trYpjVSq//wj4A4Ivvz+GnR3nHzumn35SczPN4z9wSF9+QaA0VZLkd+OTRAsX6ppr9Omn+eE9cALB14XsKl02z996Sy+9pJ07NW2a3n5bYahqlVN6ZAi+XgSBokhpquuu0xNPaPhwffmlZszQhg2KIppHhnP4upPN+Y4OzZ+vffvU2KjHHtOCBUoSbteBCV93gkDVqiZN0vr1uugiHT2qe+7R0qX5rnt4Y8LXqWpVUaS9ezVnjt57T5I2bVJrK3PeHMHXr+yG/I8/auZMtbRoxQoNGZIf8HO7zhXB17XstnxPjxoapBOn98ePa8CA3/fnwAnn8HUtDCXltWcH8xs3asEC7dmTP1ELM0x4D9k8P3BA11+vXbs0YYJWr9b48fkhAGzwy/aQPWnT1KRFi9TYqI8+UlubOjvzz2GDCW/j5IW6deu0eLEOHdKIEVq1SrfcwjU8HwTvJPtdZ9ty5szRt99qyBCtXKnZsxWGHNs7IHhX27bpttu0c6ckrVunmTOZ8w74n7qlONall6q9XRdfrJYWtbTkn3M+X++Y8K6y6/aff67fftOFF/7pR4z6+kXwxk7uvcn+0N2t9et1880aOTLfmYu6wyG9sWzvTZLkf3jkES1Zonnz9NVX+RO1qDsE7+3kI3THj6upSVGk11/X9On65BNFES+0qT8c0uMPJ+0rV+qhh/TLLxo9WmvX6uqr2XJfZwgekpR/K16lonXrtGiRjhxRc7NWr9a0aWy/rScEjxNONr95s26/Xd99p4YGrVihuXOVpjRfH/gt4oTsXbRJohtu0KuvavRo9fSouzs/2mcw1AUmPP5Ldkrf1aWODj3wwO+foPwIHn+FwusUh/T4K9kbLLgVX3eY8IARJjxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxg5N/7NQ7cSHt2tgAAAABJRU5ErkJggg==", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-7.229113323162488, -12.471679467746464, -51.888112912339615])</answer>", "action": "('move', [-7.229113323162488, -12.471679467746464, -51.888112912339615])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAJ/klEQVR4nO3dT4icd+HH8c/+CdZs0h7cJpY2zVqxiZpoQa8iaKW34D/sRS0VJBarBw/qVaQ3odAiHnrpRQi0UAuCokUU8aZeYtNNYuhuSyJNNDRt0iRmd8fDTDfZbZv8fkqb7nxeL4YwzE42s2ze8/0+3+eZ55kYDAYBOkxe7xcAvHMED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0Wmr/cLoMVgkMEgSSaNMteP4Hm7DAZZWRl1Phhkelrq19/EYPiuC/+z1bZXVpJk06b1T/jHP3LhQnbsyLSB5joRPP+91f87g0EmJjIxsear//53jh3L88+P/jxxIgsLuemm/PznmZ0d/RXeYd5puYarVL16f3jn5Mk891zm53PoUI4cyalTOX06p0/nzJk13/Ds2czOvgMvnDcheNZYXVob3pmcvLzhvZr3ykouXcrFi1lYyMGDOXQoBw/muedy5kzOn8+FC1lauto/cfx45ubexh+BqxB8uys3vAeDTE1lamrNE5aW8uqrefXVvPxyFhdHbT/7bObnc/78tb//pk3ZsiVbt+amm/KBD2T37mzblsR8/vqwDV9nXeFvXDx/5ZW89NLotriYw4dz9GiOHMnx42ueNjWVycksL4+W6FbdeGO2bx/ddu7Mrl2588586EO59da3/UfjmgRf4cqJ+roBPMmLL2ZhIQsLWVzMiy/mhReyuJgXXsi5c2uetmlTJidz6dL6wnfsyM6dmZvL3Fxuuy07d2bnztx+e2Zm1jxteXm0CjA5aXi/bgRf58KFzM9nfj5HjuTw4Zw4kX/+M6dO5dSp9SUP3xqWl9c8eMMN2b07u3aNbrfckptvHt3WzRQuXRqtAgyX+uyEfzcQfIWjR/PUUzl0KM8+m5Mn89prOXfu2lvgwxW7W27J3r356EezZ08+/OFs356ZmczM5IYb1j9/aenySr5h/N1J8GNuWOAvfpEvfOEazxxmvHlzbrste/bkIx8Z/fm+92Vq6s3rHQ7+wy+9cT8870JW6Svs3bv+kfe8J7OzufnmzM5mx47s2pXdu3Pnndm162pz7ytHh4mJN1kO4F3OCF/h/Pns3ZuZmczNZceO3H77aI1tbm60k2zVcPXeoD2uBF9hZSWHDmVmJu9/f9773jVfWl7O8vLlpTWRjzfB11laysqKwksJvsXysrwRPDRxMAQUETwUETwUETwUETwUETwUETwUETwUEfwG57gp/j8Ev5Gtnp4O/m8Ev5Gtnllm3Wmo4C0IfmMaDuwXL+Z738vjj2dqanQOWrgqZ7zZsCYm8vDDefjh3HhjLl7M/v3X+wWxARjhN7K7785dd+WVV/Ld7+bHP77er4YNwMdjN6zhWSyOHcv99+ePf8zERB58MA89lJkZn3rnrRjhN6zJyays5IMfzJNPZt++DAZ5+uksLGRiwvY8b8UIv8ENT0N99mx+8IPs25d77sny8uhssi7IzBsIfuO7MuzhPP/ixZw5k23bNM86pvQb38TE6OTSw73xKyv51rfy6U/nb38bTe/hdYIfC8NVuuF4/vvf56mnMj+fffvyhz9kcnJ0CSgQ/PiYmMj0dAaDfOYz+dnPMjub55/PV76SJ5/M9LTmGbINP3aG4/wzz+Sb38zCQrZsyU9+kv37RxeUsUnfzQg/diYmsrSUu+/OE0/kYx/L2bP5znfy0EOu50qM8GNraSnT0zl2LPfdlz/9KUl+/evcc49xvpzgx9dwh/y//pV7783cXB55JJs3jyb8dte1EvxYG+6WP3cuMzPJ65v3ly5l06bLx+fQxDb8WBte6n1Y+3Ay/6tfZf/+HD06+kQtZYzwHYbj+fHj+exnc/hwPvnJPPZY7rprNAWghl92h+EnbbZuzQMPZMuW/PnP+fKX87vfjR6nhhG+xupC3YED+fa3c/p0tm/PT3+aL33JGl4PwTcZ/q6Hh+Xcd19OnMjmzXn00Xz965mcNLdvIPhWf/lLvvrVzM8nyYEDufde43wDb+qVlpfziU/k6afz8Y9nbi5zc6PHbc+POyN8q+G6/d//ngsXsmfPmi8Z6seX4IutHnszvHPyZJ54Ip//fG69dXRkLmPHlL7Y8NiblZXRnR/9KA8+mG98I4uLo0/UMnYE3231I3SXLmXr1kxP5ze/yRe/mIMHMz3tgjbjx5SeKzbaH300P/xhXnstd9yRxx/Ppz7lkPsxI3iSZHRWvKmpHDiQBx7Iyy9n27Y89lj27XP47TgRPK9bbf63v83XvpaXXsrMTB55JPffn8FA8+PBb5HXDa9Fu7KSz30uv/xl7rgj587l5MnRbN/AMBaM8LzBcJP+r3/NM8/k+9+//Agbn+B5MwofU6b0vJnhFSzsih87RngoYoSHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIv8B12mt3/lxDUgAAAAASUVORK5CYII=", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-7.229113323162488, -12.471679467746464, -51.888112912339615])</answer>", "action": "('move', [-7.229113323162488, -12.471679467746464, -51.888112912339615])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "7c58611ae2e3d281d396191e2d07c4a7a3c6b908c45675ac539b3e7074659a71"}
{"episode": 70, "episode_seed": 2684160448, "split": "val", "timestamp": "2025-09-16T00:39:22.545863", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x145549a674c0>", "max_steps": 10, "abs_size": 336, "master_seed": 10000042, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2684160448, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [2.220172379576128, -2.847791534978762, 18.74444783576293])</answer>", "action": "('move', [2.220172379576128, -2.847791534978762, 18.74444783576293])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [2.220172379576128, -2.847791534978762, 18.74444783576293])</answer>", "action": "('move', [2.220172379576128, -2.847791534978762, 18.74444783576293])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAIN0lEQVR4nO3by4ud9QHG8eecuWUSEcEiFrMR8QLeWlBECV6iYAQvKAaEVPuHuHUjuNCNm7ZgiWgVF8lCG1GwkIIgiMFVqQYVqxhswRbMmMnMebuY42SS2GpaTTTP58Ph5ZyTN8nLnPm+v995L6NhGAJ0GJ/pDQBOH8FDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDkdkzvQGcVYbh298cjTIanZ7N4USj4Rs/Is46p/Q5C/JsZYRv8X01PAzTfcfGJysrWVrK4cPT5cbH0lKWlvLll9M/+uKL7Hxw2H7rJDMz388GcSoEX2F5OUtLmUyyujpdrj+ZTI7l+l2KPXmFw4ezvJwcvws4YblmlGHI5OJLZrbfPpMkq6uyP80Ef5YbhoxG2bcvTzyRI0em9W58/D/Wv42vPxmPTxz/N5gMGScz/zx0JH/anz++lh07ctttWVnJrN/D08QPusKhQ9m//7h3RqOMx5mdzXh83Gx/LdRhyGSSyeRb/tlvqvo4c7PDwqbR/HwWFrJw3njTl4dnPv34wj/syVOP5uhqDh7MTTdldna6W+KHJ/gKW7ac+M4wZHX1P64/GmVxMYuL2bRpulx/sr484eX6cmE+c3PD3NxobiFzm0bz48zNZm4+c7//zdzzu2dHn5//t78mk1x/fe66K+OxWf3pJPgKl1ySnTtzzjnZvDmbN2dx8dhy48stWzI/n5mZU3gcb21KME5G05f/+jTn/ixZSEb5yzhP7c+583n4V9n161x1VS644DT/HHBarsLa3PsHOgE+DBkmQ1Ynw/zMkOSrlXz2WV55Jb/77eijj7Lv1fzyF0ly6NDoz/uzbdvo5xeav58pgm+38fM/+XfhW8scjZLh6xH9k0/y7rvZsycvvpgvvpiu8fzzeeihTCYZb7isc+1/0v1pZ0rfbmN0pxDg2jG98dez97//I08+mddey1tvTVe46KLcfHNuvz233ppkWvv6wTmpnyFGeE7FySPzWsMffpiLL56+s3177rkn27bluuvOwBbyXwme7+Dkzl9/PU8/nfvvz8MPTw/3P/ZYPv88u3blssty/vlJplf2zM4az388BM93trycjz/OSy9l9+68/36OHMmOHdm7N3NzSbK6mvF4OnVf2wWccIqfHwHf4fkmq6sZhmMXwH30Ud55J88+m5dfzldfJcnCQq65Jtu2ZXk58/PHVp5MMho5tf6jZYTneGuX168N2usz+Uceye7d0xUuvTQ33pi7785992V+/oxtJ/8TIzxfWzv8tnY9zdtv54MP8uCD0xF7+/Y891zuvTd33JFbbsmVV07/irtffmqM8GywvJy9e/PCC3nzzQxD3ngjl12WYciRIzlwIFdfnXPOSZKVlSSZmfEV/SfHCE9y9Gjeey/PPJM9e3Lw4PSmmfPOy4EDufzyrK5mcTE33pgkKysZjdzc9tNlhC+2duXMgQN59NHs2zftfMuWXHFFdu7Mrl3ZunU6z1+7e85R958+u+puw5C5ubz6aiaTXHttbrghDzyQO+88tsL6hXG+q58VjPDd1sbtxx/P5s25//5s3Zo4i342E3y9jbe1HD3qBvWzm+D5+hrYmZnjbmjjbCR4KGKPDkUED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0X+DZ0L3WwmjicEAAAAAElFTkSuQmCC", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [2.220172379576128, -2.847791534978762, 18.74444783576293])</answer>", "action": "('move', [2.220172379576128, -2.847791534978762, 18.74444783576293])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "f3c35865f040888580806bbc6841da95a8ad56f6d415e3598084328d0e6d488d"}
{"episode": 71, "episode_seed": 2273473165, "split": "val", "timestamp": "2025-09-16T00:39:23.541226", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x145549a674c0>", "max_steps": 10, "abs_size": 336, "master_seed": 10000042, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2273473165, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [123.33225016639382, -91.36779163806261, 36.06699101316582])</answer>", "action": "('move', [123.33225016639382, -91.36779163806261, 36.06699101316582])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAK6UlEQVR4nO3dS2wVdR/G8WfOBbUBwaCNMQFNiFZSCwGKCSE2mLaEEmDhxoXGhRHQgJdISY2aNDFVSGq6kI2oWzcmbjTREpUit9AWUS4L3WgiwQh4qaWl2nNmxsWMHC7FV33f18OZ5/sJC9ILGZLz7e8//5k5DeI4FgAPuWofAIB/D8EDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGC/8+iSOWy4rjaxwH814KYF/KfimMFQfoXKf07UKOY8H8mihQEeu01PfecgkBBwJxHbWPCX1W5rEJBQ0NqbdXYmFasUG+vmpsrMx+oOUz4qcWxcjmNjam7W2NjKha1Z48OHpSkKKr2wQH/FMFfVS6nnTvV369iUaWS2tu1ebMk5fPVPjLgn2JJP4Vk0X7smO67T2NjyuU0a5b27dPdd7OeR21jwk+tXNbmzRodVRCoXFZ3N7UjCwj+cuWygkC9vdq3T9OmKQy1Zo02bGB/HlnAkv4SYah8XoODWrtWP/6oONatt+q999TcnH4KqGlM+Irkqvv583r+eZ09q0JBQaCtW9XcrHKZ2pEFBF+RnKLv2KHdu5XPa3JSra3avFlRRO3ICJb0qaT2I0fU0aGfflIUafp0HTqk+fMVRcrxgxGZwAtZ+uM++V9/VWenzpyRpCjSyy9r/vz0DhwgG3gtp5LF/MCAikWVy1q9Whs2pGf1QGawpE9X7EePavlyTUwojjVzpvbvV2Mji3lkTaHaB1Blcawo0vnzevJJjY+rWFQcq6cnrZ3xjoxxn19RpEJBO3bo4EEVCuk98w8/rDCUePodmWO9pE8egB0c1KpV6V20N9+sjz5SUxO32SCbfCd8cnV9dFTd3RoZUS6nMNTWrWpq4jYbZJZv8MmF9507tWuXpk1Tuay2Nm3Zki7ygUwyXdIntX/xhVpaND6uINCMGRoc1F138Ugcssx3wpdKevppnTunIFAYqqeH2pF9jsEn19tefVV796pYVBhq9Wo99hi1I/vslvTJ9vvQkFat0i+/KI512216/30tWsTOPLLPa8Ins71UUleXfv45zbuzU4sWqVSidmSfV/DJ7TS9vdqzR/m8SiV1dGjTJsUxO/OwYLSkT26MHx7WunU6e1ZxrFmztGeP7rmHJ97hwmXCJxty4+Pq6tL330tSFKm7W01NimNqhwuX4KX0NpvkAdgw1KpV2rSJ5+HgxWJJn4z3o0e1bJl++01RpJkzdegQ7zwNO9nfqkoegJ2c1KZNmphI33l62zZqh6PsL2eTDbm+Ph04kL41ZUeHHnqIXxEHRxlf0icPwA4Pa+VKnTsnSfX12rWLB2BhKssTPtmQGxnRCy9oZCRd23d28gAsfGU5+OQNZ996Sx9/rOuuUxSprU1PPcVsh6/MLumT8X74sFpb00fikgdgGxrYq4OvLE/4yUl1dmp0VPm8okivvELtcJfN4JPFfF+fPv1UhUL6PvPr1/MbYOEug0v6ZIYPD6utTePj6W+A7e9XUxP31cFd1l7+yY+vclnPPqvRUeVyiiJ1daU789QOc1krIAjSh2EefVRz56pU0tq1euIJnpABpEwu6fXHqv7rr7V9u9av19KlXIoDpKwGL7EbD0wha0v6C4JAUaRymZ15oCKzEx7AlTI74QFcieABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBSqPYBAH9BFCmKlMspCBQE1T6aGhbEcVztYwD+jotfscT/N7Gkx7UtyXvvXj34oN55R2fOpEOeUf+PMOFRCzZu1BtvKAh0441auFArV6q9XQ0NqqtTsZh+TbLsD4J05Y+pEDyueXGsbdv07rs6dUqnT1c+PmeO1q5VT49uuklxfEnkk5PK5dI/uAjB45p3IebPPtOBAxoe1pdf6quvdO6cFi7UwIBmzVIQ6NgxDQ5q2TI1NFTGfqmkIFCBzekUwaMWhGG6Vk+cOqUTJzQ4qMZGPfBA+sGNG/Xmm2poUEODFixQc7OWLVN9fbUO+dpE8KgRcVw5S794Yifzf2JCW7bo9dcre/h1dbrjDs2bp/vv1zPPTHFWf+ErnU74CR416Mr9uSjS+LjOnNHQkPr7NTCg775TGEpSY6NOnEi/8dQp5fOaPbuy5pfSL8vn/+X/RFUQPLKoXNbhw/rkE33wgTo69OKLKpVULOqRR/T222pvV2urli/X3Lmqr9e0aZd8b1JERsc+wSMrrhbqhVd4GGrdOn34YeVTd96plhbde68WL9bixZU9gihSGKab/Nkqn+CRUck5vy5aq5dK6U7+8eM6ckTDw5WfBS0tGhhQHCuX0/i4pk+v/DtJ+VnJnssVyKgguPy0vFjUkiVaskSSTp7UN9/o+HHt36/du9XQoFxOk5PK57V9u/bv19KlWrFCLS2aMaMqh/9/woSHkzBUFKlQqEzsiQn98IPq6jR7drrhf/vt+vZbSbr+et1yixYs0OOPa82a9OmdGseEh5N8Xvl8utpPFvA33KA5c9LPBoHCUC+9pP5+DQ3p9GmdPKmTJ9XRUdWD/l9iwsPb1a7Gl8s6cEADA/r8c/X1ad68y+/erU0ED1wqmf8ZvSxP8MBULr6xL5/PwGxPEDxgpOZ3HQH8dQQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0Z+ByGYETpfwLRrAAAAAElFTkSuQmCC", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [123.33225016639382, -91.36779163806261, 36.06699101316582])</answer>", "action": "('move', [123.33225016639382, -91.36779163806261, 36.06699101316582])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [123.33225016639382, -91.36779163806261, 36.06699101316582])</answer>", "action": "('move', [123.33225016639382, -91.36779163806261, 36.06699101316582])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "5f2a3054f002148abbe0d291f1e553c1dd7b6359002608da18e6af3eaebf84e3"}
{"episode": 72, "episode_seed": 4033062350, "split": "val", "timestamp": "2025-09-16T00:39:24.154929", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x145549a674c0>", "max_steps": 10, "abs_size": 336, "master_seed": 10000042, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 4033062350, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [16.283520221297614, 22.580883134198103, -43.13257509721935])</answer>", "action": "('move', [16.283520221297614, 22.580883134198103, -43.13257509721935])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [16.283520221297614, 22.580883134198103, -43.13257509721935])</answer>", "action": "('move', [16.283520221297614, 22.580883134198103, -43.13257509721935])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [16.283520221297614, 22.580883134198103, -43.13257509721935])</answer>", "action": "('move', [16.283520221297614, 22.580883134198103, -43.13257509721935])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAHRElEQVR4nO3bz4vcdx3H8fdnZrJdixh7qU0gHgJqiLfSWEGhkV5qWm16UIhQGlMpVuhZz/0XpAaxCv7IFgwFo+tBCdvQoDUULeZQorUg1KQRSonpoYfd+X48zLgxS0At4rrzejyOMzvL97DP7/s77+93W++9gAyj7T4A4H9H8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBkst0HwH/TMNR0Wr3f4q3WajyukTN8ttZv+dfBgppOazSq1rb7ONgmJvwi6L1aq42NOn++vvfscOVqu+22tjnPZ6f0gx+bnnhi/NGP3PSpKvFnMeEXR+/19tv1lzf66s/bt745vfLX8Zb377yz7v1Ef+qp0eHP1K5d81fN/CiCX1jnztUzz9RLL9Xly72qtXZjpB88MHz1a6PPf67v+3Cbpb6+7ht+BMEvmtnl/abXX69nvz09+8Lod7+tobeqmkxqY6Oq+gfe37/8+Oihh+rQodq9u6pqfb1GoxqPb/2bWQCCX1i91zDM671+vc78pP/il7X60/63d1pVW1qqjY0ahqqqBx6oI0fqwQdr//6qqum0WjPtF5PgF9zsRt3mN/Zf/6qvvVA/+mH94Y+tqsbj+Xmhqg4erE9/ajj2pXb48I0rBIu9BSP4CLPsJ5N5ulcu999caCdP1tmz8x8YjWuYVlW/44728QPT44+Pjh1rt99+4+NVZv4iEHyQ2TDf3MlvbNSlS3XyZJ05U29eqaH3qvkob63u+tDw2PH26KO1f39bXq6qmk6rykp/ZxN8oi0X6teu1Q++P5w+XRcvtuvvVFX7x2KvqoZHjrbHjrdDh2rv3qqavz4ey35HEny0LeWv/mxYXW1ra/Xan3rVaLKr+jAf7PfcU48c7fffX/d+slXVMFTvpv3OI3iq9/lmfrbSf/XVWlvrp39cL57vVaPxqEbjWl+vqr7nrrrvvv7ww+0LX2zu3u1Egmdunn3VeFJV9dZb/eLva+W5trJS775b9U+Lvfct14EDdfRo/8oTo7175nsBdgTBc5PNu3SzAT4MdflyrZyq735n+uc3xuvrVVWzh/Za1e4P1pNP1tNP12Sy9YEf/j85M3OT2YX95v350aj27auvf6MuvTZeOdWPfHbYs6dmQ2Jpua5dq/F4Xjs7ggnPv7BlsffKK/Xcqem5F8cvv1yTSV24UHffXRsbNfGPlzuB4Pl3DUMNwzzsq1fr+eertTpxopaXXc/vGILnPzOd1nRaS0vbfRy8J4LnvZhNe4/f7DiChyC29BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BDk7/p4bFcdtD2AAAAAAElFTkSuQmCC", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "f61673d48305050d865ef7644ee6024121939d4837691cd2471dcb005db5c619"}
{"episode": 73, "episode_seed": 2132465945, "split": "val", "timestamp": "2025-09-16T00:39:24.765602", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x145549a674c0>", "max_steps": 10, "abs_size": 336, "master_seed": 10000042, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2132465945, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [1.148591018711176, 21.003956436098722, 5.125586472080907])</answer>", "action": "('move', [1.148591018711176, 21.003956436098722, 5.125586472080907])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAI6UlEQVR4nO3dTW9UdR/H4d+0BSkgLS1PLQLT4kbQJS/ADYmJO0Pi1sQte/e+A9n4AlwaNyQuXCorNurGuLDYlmcJtFQILUxn7sWZ9BFuEiNF/V5X/pl0ynQyQ/o5T53zP61er1dAhoHX/QKAnSN4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CDL0ul8AYXq9rbcDA9Vqvc6XlKTVa/7T4W+x5ddJyf8w1vD8Jb3eesy9XnW71Wr9v3V1r1erq/X4cc3N1exs/f57XbtW8/P1yy/12Wf1ySc79sLDCZ6X6fX6Y+3rVqsGB9cfsPHu8nItL9eTJ/XkST14UFNTNT5eVTU3V++/X7dv18rK1uf/8UfB7xjBs1kT9tqKutPZmveWB7dadf16/fRT3bxZ8/N1/Xp/XLtWVfX11/XRR/1H3rtXKys1MlIjIzU2VqOjNT5eExN1/vwOvC0ago+3tgLfvuquqqGhqqqlpbp7d33cvl3dbn3+eVVVq1XffVeffvqcZ37zzep2q6q63Tp8uC5dqtXVOnGiJibq2LE6cuRVvzO2c9COzZaW6tmzGhurXq8GBurLL+vbb2txse7dq/v3a2GhOp2qqlarZmfr5MmqqitX6uOP68iROnWqjh+vEydqcrIOH679++udd2p8fNMO/5put7/5MDDwwi0I/m7W8MG63RoYqKtX68qVunmzZmbqxo1aWKjz5+uLL/opXr1aly9v+qlDh2p6ut57b32v/ty5+uGHGh6ufftq797n1NtqVa+3vqRYG7t378j7ZJ3gg3U6tXt3ffVVXbq06fs//1ydTu3ZU1X1wQe1vFxnz1a7XVNT1W7X6GgNDtbQUD/sVqveeKOmptZ/vDkg3/zT2nH7Vqt27dqh98WLCT7YwEBV1bvv1pkzNTJShw5Vu10nTtSZM7VrVz/UCxfqwoWXP1XzZ7lGq9Xf8+efxz58sGbX+uHDWll54SG0tYN5DR+k+ZcTPFW14RBasx0+4CSL/ybBx1tbh1t7BxA8BLHlBkEED0EED0EED0EEn8vh2kA+EZWr1apOp/8ZuS2D/yrBh2pOZtn+8fZut549swj4z/J3+DjNp2xu3aqLF2tyso4erYmJOn68JidrYqIOH37Oj6ydC7Plln8da/hQMzP1zTfrd0dG6uDBGh2t0dE6dKhOnqx2u9rtOnWq2u06cOAlz7Z9rWGJ8M8k+DhNir/9tumbDx/Ww4ebvjM4WMPDtWdP/zz3drtOn67p6Zqerrffrna7hoc3nfy6XbNdUBs2CiwFXjvBh9q3r86erceP+/NNLi/X06ebHrC6Wo8e1aNH/bu//tr/ojm5Zmio3nqrvwg4fbpOn66pqTp4sIaH+2PtfPmNHCN87ezDR+t0ana2P5r5o//4oxYWamGhFhdrcbE/S81GzbR3a5NcbLRrV01N9fcCmtsjR/p7Cs3t9kXA6mqtrtbQkNPzdojgQzVzyT93Lrk//6xbt+rWrbp9u27cWJ+38s6dunOnHjzY+vhmhd/8kW/7UuDAgZqcXB/NMcJjx+rYsTp6tMbGXsm740UEH23jjLXNaOrdbmGh7t+vBw/q/v26d6+uX6/5+f6Ym6vHj7c+fnCwBgbWZ7LbqNWqsbH+GB+v8fG6eLHOnXv+VJf8vQTPVt3u1qmrmxX4Fs2FZJqxtFTz8zUz07+izMxMzc0955ITL3L5cn34oeB3guB5uS0XnqmqwcEXxtnpVKdTT5/2J8JtRrMUWFyslZX+2LjxPzNT09OC3wmC5y9a+8VZu1bNS3N98qSuXavZ2f7t7GzdvVvLy/X997V376t9tTQEz6uy8Tdr7cLQ2y0t1f79jtLvEMGzczYeGmjuuurMDhM8r9OWS1fyqvmkHa+T1HeYPScIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngI8j/d6iUjagXMdAAAAABJRU5ErkJggg==", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [1.148591018711176, 21.003956436098722, 5.125586472080907])</answer>", "action": "('move', [1.148591018711176, 21.003956436098722, 5.125586472080907])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [1.148591018711176, 21.003956436098722, 5.125586472080907])</answer>", "action": "('move', [1.148591018711176, 21.003956436098722, 5.125586472080907])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAG4klEQVR4nO3a0VIb5R/H4d9uUtKWUVqcaYEWIeKleBeeeAtehPflJXjogSmFaoH+Hf4MLQXHbNaD1NoC1Y4jxfH7PPMOB8lMsjvks+/7btL0fV9Ahva6DwD4cAQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQYbXfQAk6vs3xqyqqeGwmua6DyuA4Llyff/W36aptpX39Wj6+f8B/paLH5/3KXlvr3Z2ane3dndmk0k9f9F+801tbLy6HHB1zPC8r/kKvN6I/M8n6llX066ePavJpLa369GjejzpJj/0Bz8PT8/q9LTOzuqXX9rZrKrqq68E/yEInku8tcfuq+9rMKjB4JIau65OT+vstF6+7J+/aJ48qe3tmkxq+1G/Pem2d9oXJ+1sVvOqqwbvesfvv68vvrhkvcA/S/DpLrbdNDUcVnvhC5zptI6O6uiojg5n/z+q//3c7u7+vjJ/PNt+1J2cDateXxKaqmHbvmsV0Ff1t242S3ebO0t1504tLV3taTJnD5+r76vrat7kxaf29+vgoA4O+oOns/2DZv9Zu79fe3u1t1d7P82OX/Tnput2UMNBNU1Nu+qm519wNKr791+NlZW6f69fudetPhisrjWrq7W6WjdvXuWp8jvBU0+f1u5u/fhjPdmZ7Tye7T0bHB42h4c1H8fHs6rmjam7qmowrLapvq/p+bb7trpPN9pPN9r19ZqPlZX65JNaXq67d2t5uW7fvuQYZrNLrjv84wSfaF7Xt9/W11/XdFrPn9fJSZ2e1suTvq/+/X+OtbBQ6+s1Htdnn9V4XONxbW7WnaV+cbFuLzaLizUaXf7u02k1zfnBB2APn2ge/PFxfffduWfOz+Q3btTCQo1GNRrV8tJ0a6sZfz7Y2qrxuLa2am2tRqMaDms4PPcif+i6P+69v257YeEqTou/JvhE8/yWl18/0Ff1t261H31UH3/8ajx8WJubtbFRGxu1uVmbm3Xjxl98Wl5/b/fmdD145415roHgE82DXF2tL7+stq2Ve/3KyuzherP2oFlbqwcP3rkUr7djPrcOtzL/97OHz9V1NZ1e3vavv1aVPfZ/kODTdV11nVtoKQQf7eKWm/82e/hoUk/jtw4QRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQ5DfTRzt4TiTTIAAAAABJRU5ErkJggg==", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "edc06e7e76a02c0359ae32fd4cb309930946bbd4ec76d33e32e6ed6a0817fed2"}
{"episode": 74, "episode_seed": 2829772548, "split": "val", "timestamp": "2025-09-16T00:39:25.381370", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x145549a674c0>", "max_steps": 10, "abs_size": 336, "master_seed": 10000042, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2829772548, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [6.441531514018596, 11.546434023976284, 38.574094248392576])</answer>", "action": "('move', [6.441531514018596, 11.546434023976284, 38.574094248392576])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [6.441531514018596, 11.546434023976284, 38.574094248392576])</answer>", "action": "('move', [6.441531514018596, 11.546434023976284, 38.574094248392576])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [6.441531514018596, 11.546434023976284, 38.574094248392576])</answer>", "action": "('move', [6.441531514018596, 11.546434023976284, 38.574094248392576])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "ed9db1928deb8986f99f63b367622157e411926a01d1183dde3b213895d5eba0"}
{"episode": 75, "episode_seed": 224797885, "split": "val", "timestamp": "2025-09-16T00:39:26.361596", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x145549a674c0>", "max_steps": 10, "abs_size": 336, "master_seed": 10000042, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 224797885, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-0.6301187162060208, -4.081409912507013, -28.438845699135555])</answer>", "action": "('move', [-0.6301187162060208, -4.081409912507013, -28.438845699135555])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAJ4UlEQVR4nO3dzasd9R3H8c+cc65KqFGhcKPeKFpNLEUhitEUxTQrl0UorS7cCf0P6t5Vd/0XSq2WUuhSfEIjajEaxeADNY2i1gaJ0QiG3Jhzz3QxQ1NKl3fOHPJ9vVbnzupHyPv+Hs7M3KZt2wA1TMYeALA8godCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCH40bZvFIm079jioZDb2ACpaLLJYZDZL04w9FIoxw49gMslsls3NnDyZzc2xR0MlZvilats0TT76KH/9a955J198kSeeyMGD2drKdDr24ChA8Eu1WGQ6zfHjefzx/sqxY4JneSzpl2oySZL7789NN2U2y2SSv/+9v+70jiUQ/FI1Tba2snNn1tczn2exyPHjOXMms5ngWQbBL1t3Mn/PPf2PH36Yzz5LIniWQfDjuOeeNE0mk/zzn/n880TwLIXgl63bxt97bx98cnEbD0Pzv2wcu3dn9+5sbSXJu+/m/HnndiyD4Mcxm+Xee/vC3347Z86MPB6KEPxoum38bJYPPsjp04ltPMMT/Ai6sPfvT9tmOs1i0W/j3VrP0AQ/mhtvzFVX5cKFJHnjjUTwDE/wo7nyytx5ZxaLJDlyJPP52AOiAMGPoJvJd+7MnXemaTKd5s03c+7c2MOiAMGPY7FI02TfvrRtJpN8910++CBxbsfABD+OLuybb87ll/eL+b/9bdwRUYLgx9Gt6q+9Nnv39vG/8Uba1gzPsAQ/ji7466/Pj3/cXzl61Ck9gxP8OJom83nW1nLbbf2Vr77Kxx9nMunP7WEIgh9Nt3rfu7d/bObcuRw5cvE6DEHwo+k637s3GxtJsrmZN9/s310NAxH8aJombZs9e7J7d3/l2LE0jZ08AxL8aCaTzOf5wQ9yww39lZMnc/p0ZjOTPEMR/MjaNrff3n/+8su8+24SwTMUwY9pMunvt7vqqiQ5fTrvv584t2Mwgh9T95abffty9dVJ0rb9DbYwEMGPqXtr9fp6du3qr5w4kbNns7ZmkmcQgh9f2+auu/rPJ07k448T23iGIfiRddv4/fv7D599lk8/TWzjGYbgR9Z9637gQNbW+i/qjh+/eB22l+BH1oW9Z09++MP+rdXHjmU+z3Rqkmf7CX5V/OePTx07llOnRh0Kly7Br4r9+5NkMsmHH3prNUMR/Pi6sA8cSJLZLOfO5cSJxDaeAQh+Vdx6a3bsyHyepslbbyWCZwCCXxVXXpl9+7JYpG1z5Eg2N8ceEJciwY+vm8l37Mjdd/c/vvVW/9Zq23i2l+BXwmKRyaS/3+6yy/L11/nkk7HHxKVI8Cuhm8lvvTWzWS5cSNN4azWDEPxK6Fb16+u55ZZ+G9/9tTnYXoJfCV3wu3bljjv6K4JnCIJfCd1zsldckZ/8pP/x5Ml8/nn/3jvYLoJfFd3zsHv29G+zPX++n+QFzzYS/KroOv/Rj7JrV9o2Fy7k6NHEg/FsK8Gvim4bf8stufHGJGnbvP76uCPiEiT4VdE9DH/NNdm7Nzt35rbb8tOfZrHwnCzbqWn9b1oZ3e03//hH1tb6eR62l+BXVNt6eIbtNxt7APyv7jew2hmC4FeO1BmOQzsoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMGvhrYdewSUIPgV0LZpmv4DDEnwY9vaStPkvffy/fd99jAYwY+nbTOfZzrNc8/lvvvy61/n66/TtuZ5hiP4kbRtFovMZnn++Tz6aL79Ns8+mzNnTPIMSvDjmU7zwgt59NF8+WU2NvKXv+Tmmy/u52EAs7EHUFXT5MUX8/DD+eqrbGzkqady4EAWi0z8CmZAgl+6bjF/+HB++cucPp2Njfzxj7n//ly4kLW1sQfHJa5pHREtUzeHf/JJ7ror33yTjY384Q85eDDzeWZ++TI4C8glWiz6E/j19TzySG66KU8+mYMHs7WldpbDDL8s/313TdNkayvvv5877rBvZ5kEvxRd5K++mu++y4MPXlzAb21lOh17cBRiJTm8rurDh/Pzn2c6zZ//nEOHMp+nadTOkllMDuk/99K9/HJ+8YucOZPpNPN5P+GrnaUzww+pO407fDiPPJJTp7JrV556Kj/7mZU8Y7GHH0b3r9o0eeWVPPxw/vWvrK/nT3/qz+TVzkgs6YfRNGmavPRSfvWrvvann+6/b1c74zHDD6Dbop89mwceyNGjufbaPPlkDh1yLx2jM8Nvt+7O2cUiO3bkd7/L/v35/e/7Y3m1MzYz/LayP2e1meG3STexT6d55pn85jfZ3OwveqEFq8TXctukO6V79dU89li++CJbW/ntb832rBrBb4fulO611/LQQzl1Ktddl0OHMpm4T55VYw+/fc6fz9mzufzyNE127Bh7NPB/CB4KseCEQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgr5NzFBNbUjuGZeAAAAAElFTkSuQmCC", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-0.6301187162060208, -4.081409912507013, -28.438845699135555])</answer>", "action": "('move', [-0.6301187162060208, -4.081409912507013, -28.438845699135555])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-0.6301187162060208, -4.081409912507013, -28.438845699135555])</answer>", "action": "('move', [-0.6301187162060208, -4.081409912507013, -28.438845699135555])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAG00lEQVR4nO3cS3JbxxmG4f+AACjvIhVdKEiiLp57BxHFi1WeeTVegTcRxRSpbMFV9jyRzAsIkYvwxCYBnJMBtIMQAMvf84ww7MmLv7vRhabrugIy9Na9AGB1BA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBH9XdN26V0AAwd8Ji9o1z7L1170Aquuqada9CDKY8GvWttU09fFjffNN/fprlTnPMgl+nWaz6vXq9LTevm1/+aW+/75+/rm6rtp23SvjL0rwazObVb9fJyd1sN9eXDRffVVXV/XjjzWdVtOY8yyF4Nejbavfr9PT+u5tez7uDQbNH3/U1193P/xQw+GXfT7cuqYzStbk7Kzb2+vG42YwaKbTevmiO3xfDx40bVs938Msh1v6VVv0fH5eb153k8tmMGymN/XqZXt81Pzt7818Xhsb614if11GyUotbunOz2t3p51c9jY3m+lNvXrRHb5XO6sg+NVZ3NKdn9fBfjueNJubdX1dr152736q+/eb2UztLJ0z/IosdvLjcX37bf32Ww2HdXNTL1+07941W4/NdlZE8KuweEs3Htf+fp2eVr9fs1ltb9f7w+7RltpZHcEv3WK2X1zUzj/a8aQ3GNR0Ws+f1/Fx3b9fameVnOGXaz6vXq8mk9rdmY8nvc3Nmk5re7uOjtTOGgh+iRb3cBeTbu/N/Gzcu3evrq/r+XZ7eNg9eKB21kDwy7J4S/d50r3db0/OesNh8+eftf2sfffPZsu5nTVxhl+KxS3d50kdHMw/fur1+81sVk9H7eH7ZvRE7ayNl3a370vtn7ud1+3ZuLd4OfvsSXv87+bhQ7WzTrb0t2w+r6apy8va3a2zcW84bKbTejpqjz40Dx82c69rWCvB36bF9L66qr29OjlpNjebm5t6OmoPj5pHj5rZrDbsqFgrwd+aRe2Xl7W/X58+1XBY19f1ZNT966dmNGrm8+qrnXVzaXc7Fq9rrq7qYH/+n//2+oNmNq3Hj+vwsJ498wscd4Xgb8Hilu7ysnvzuj05621sNPN5jUb14UNtbamdO8SW/v+1qP3qqnZ32pOzXr/fzOc12mqPj9XOnWPC347ZrH7/ve7dq7atrqvB4Mtn/13DnSL4ZfFv89xBBtCyqJ07SPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQ5H921Vunr/jEtQAAAABJRU5ErkJggg==", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "10667486ff8ecb370c4eb7a552fe0bfab04c79c081257f1e356c8a2c7739fb97"}
{"episode": 76, "episode_seed": 2966405271, "split": "val", "timestamp": "2025-09-16T00:39:26.966485", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x145549a674c0>", "max_steps": 10, "abs_size": 336, "master_seed": 10000042, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2966405271, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-6.019469888350834, -6.49572263064555, -5.043691721833284])</answer>", "action": "('move', [-6.019469888350834, -6.49572263064555, -5.043691721833284])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAIB0lEQVR4nO3bz2pc9R/H4c/MJMUuWhUMQV0IRldVIlIaS0W7CFhduBFFvAPvwDvwBuxCKC4KbnThRqH7aqxKrdVFgwpqtG7iRmNbYmbm/BYzv6RJbG1tppP6fh6Gw8k5QziZ5HW+519aTdMUkKE97g0Abh/BQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQ5CJcW8A/LOm2YG1rVa14wc4wTNCTVO93jWDvH6ordY/T69+Jzei1Vz/U4fdZ7Af6feH08Hr6iW93qZV/X5duVJTU/Xgg+Pe9HEzwjMS/X612/XLL7WwUFeubETY61W3u2mm369ud2Ph+mt7vX87sz7tdjfK3/KGVqtWVuq11+rNN4eHFbEHBYJnJAbBnztXr79eKyvVNMMax+jixaqqVusfTiX+2wTPCDVNXb5ca2tj3oyJiep2h6nHju0DgmeE9u6tqan644/qdKr+f5281Rq+rp6/zqr1+cHMxERNTNTk5HCm09k6v33Vnj21ulqHD4/749gFXLRjJAZj6fJyffVV9XqbIlyfDl7t9sb8lrWdjhtpO0zw7FKDP8zt0+u4/uG6+/DlkJ6RGlyr2+5vy7zWwvCz7p1lhIcg8Yc4kETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETw/0q/X01TTTPu7YCb02r81d64QeedzsaSXq+qqtWqtl0nd4CJcW/AHeXdd+vDD+uFF2p2tqana2qqJnyA3EmM8Ddsba0OH66zZ4dfPvFEPfVUHTxYMzP1yCP1wAPDQb5pqtsdjvmtVrVaY9xk2ELwN6zbrePHa2GhvvmmLlzYWL53b730Ur31Vt19dzXNpsKbpvr9YfbKZxcQ/E1aXa2ffqqlpfr66zpzpj77rJaW6tVX6+TJ6nSq3a533qn3369jx2purubmrtn5ll0D3BaCvxnd7qaT9kuX6vff68KFmp6uxx6rqrp8uV55pT76qKpq//6anq4nn6yjR+vo0ZqZqcnJTd9tcAnQ+M9tJPibNLgb1zTDU/Srl7dadelSnThR771XP/5Yy8u1tjZc227X3FwtLAy//Ouvarc39h39fvV6w9N+V/sZJcHfgvWPbvv4vLxcH39cn3xS58/X0lJ9/329+GJ98MHwGOHtt+v8+TpypGZm6qGH6v77b/OGE0vwO237vfrvvqsvvqiZmTp0aLj20KE6d66qat++mp2t2dk6cKAOHKjHH6977hnuPvr96vdd6mdnCX40BtfnB8VeHX9V9Xp14kSdOlWff16//rqx/L776tixOnmyWi2X9BgRwY/Y4IS/19ta/spK/fZb/fBDLSzU6dP16ae1slLPPVenTtXaWk1O1vHjdfp0zc/Xs8/Wo4+O7wfgP0Xwu8DaWv35Z505U/v21dNPV69XnU4dPDh8yGfPnnr44XrmmXr55ZqfN/hzKzwZOiaDkX9wfj45WffeW88/P1w1OBCYn6+77qqLF+vnn2txsRYXa//+mp+vfn/rOQLcMCP8rjH4RWwZvRcX68sv6+zZ+vbbeuONOnLECM+tEPxuNXggf30wX12tTsf/6nCLBL+LDQ77B3fytjylB/+K4O8QjuTZCR7kvEOonZ0geAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAjyP19I+Lr9KyQdAAAAAElFTkSuQmCC", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-6.019469888350834, -6.49572263064555, -5.043691721833284])</answer>", "action": "('move', [-6.019469888350834, -6.49572263064555, -5.043691721833284])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-6.019469888350834, -6.49572263064555, -5.043691721833284])</answer>", "action": "('move', [-6.019469888350834, -6.49572263064555, -5.043691721833284])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAJrUlEQVR4nO3d32+VdwHH8U9/gCIyZcLQCdJQxsamwZhlqDM6E6LTC2+MxkT/EP8Ql2iyeLHEC/XCG012P8WpmWYS1w4mMLbhdI6MYZd1bc/x4pys0A0CG4PSz+uVhvT85JST9/N9vt/z0GdiOBwG6DB5s18AcOMIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHopM3+wXwFrD4er3ExM373WwEQl+3VkT+WAw3gRMTIxvshXgPZsYXjygcLMdO5aFhdx5Zz7ykWzdmi1b1t5hMMjKSpJMTGRycnUrAFdD8OvCcJiJiays5Ic/zC9/mW3bMjOTAweyf38OHMju3dmxI5/4RHbsyNatax+7tJThcDX+ScsyXJ5d+nXk1Vfzn//kQx/K4mKOHcuxY6s3bd+evXvzmc9k797s3p1Pfzp79mTPnuzenU2bLnmSwSCDwTh+4z9rGOHXhcEgk5M5fjxf/nJefXX1+snJTE1lOMzy8tqH7NyZO+4Yf83M5K67Mjub2dns2XOlv8iKYDnBryOLizl+PKdOZW4uc3OZn8/8fM6fv6rHbt6crVuzbVs++tHs2ZODB3PPPbnnnhw8mDvuuOyjhsMMBokVwRqCX6eGwywtZWkpL7+cZ57J3Nz4zxdeyJtv5s03s7g4bvVyJiczPZ3p6dx+e+69NwcP5uDB3Htv9u4dLwdu2fIueS8vjxcUJictB2xAgl9f3p5+X+EOJ07k+PE8+2zm53P6dM6dy7lzee21d9kXGBX7zu3CzEzuvjsHDuTuu7NvX3buzO23Z/v2bN9+XX8Y1h/Br3cXvz+j1fg13ngjp07l9OmcOpXnn8/Zszl7Ni+9lLNns7BwyT2npjI9ncEgS0uXXD89nX37MjOTmZnxouAnPzleERiN9mwYgr/1jCbew+F4W7BmlT7JuXN5+eXx14sv5uTJ/POfOXkyJ09ecreJiUxPZ2Ji/MHexbZuzY9+lJ/+NMvLmfZJzgbizbz1TExkamr14sX9D4fjSfto3j4yGOT8+bz2Wl5/Pf/+93g68OyzmZvLiy++y5MPh1lYyObNN+jH4UYS/C3vyv2PPti7eH7+jW9kOMziYt56Kxcu5LnnxsuB//hHTpzI669ncTErKzl0aPzkbCR26Te+0Tv89vt85bX3f/0rzzyTkyfz9a9n/35z+I1G8L3e+c5re8OzS9/rXfO+eC6g/43HCA9FHEsFRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQT/nlx8qie4dfittddi1PnF53lZWUkyPrsyrHt+L/21+MUv8tvf5tvfzqFD2bUrO3c60yK3FiP8VVtaype+lKeeGl/8/OfzxS/m/vszO5v9+3PnneNBfjjM8vJ4zL/yqd7hhhP8VVteziOP5OjRHDuWubnV67dsyXe/m5/8JB/72NpTsY1O7DjKXvmsA4K/RouLef75nDmTv/89Tz6ZP/0pZ87kBz/IY49laiqTk/n5z/PrX+fhh3P4cA4fvmznztLIzSD4a7G8fMmkfWEh589nbi67duWzn02SN97I97+f3/0uSW67Lbt25QtfyEMP5aGHMjubTZsuebbREqDxnxtI8NfocidbHKW7sJBHH82vfpXTp/PKK1laGt86OZnDh3P06PjiW29lcnJ12zEYZGVlPO232s8HSfDvw9v/dO8cn195Jb//ff7whzz9dM6cyXPP5TvfyW9+M95H+NnP8vTTefDBzM5m79586lM3+IVTS/DX2zs/qz9xIn/5S2Zn88AD41sfeCB/+1uSbNuWQ4dy6FDuuy/33ZfPfS4f//h48zEYZDCw1M/1JfgPxmh9flTsxfEnWVnJo4/m8cfz5z/n7NnV63fsyMMP57HHMjFhSY8PiOA/YKMJ/8rK2vIvXMh//5tTp3L0aJ54In/8Yy5cyDe/mccfz9JSNm3KI4/kiSdy5Ei+9rXcddfN+wHYUAS/Diwt5X//y5NPZtu2fOUrWVnJ1FTuv398kM/mzdm3L1/9ar73vRw5YvDn/XBk6E0yGvlH8/NNm7J9e771rfFNox2BI0fy4Q/npZfywguZn8/8fG67LUeOZDBYO0eAq2aEXzdGb8Sa0Xt+Pn/9a556KseP58c/zoMPGuF5PwS/Xo0OyH97MF9czNSU/6vD+yT4dWy02z/6JG/NUXrwngj+FmFPnuvBgZy3CLVzPQgeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeivwfHmRdKbZQob0AAAAASUVORK5CYII=", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAHn0lEQVR4nO3c/29V9R3H8fe5bV1Jm24DzH4C6QYmk1FkyYYdXwTjT/4D/qJ/hT/7H/ib/4GJv5r4m8kQJYMOhSgbGCffthhGdEhhiTFo7z1nP9yuBUYGgrTF1+PxQ5Oec3ty7r19ns85n3vapuu6AjL0VnsHgJUjeAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgi+HvVttV11XWrvR/wAJrOr/D9GvbfNNU0q70rcG+M8HcxPB5eulQvvFCvvFKHDtX8fC0sVFU1TfV61TTVddXv12Bg/GetM8LfxWBQIyP11lv14ovV71dVTYwPdu9uDj7f27u3tjzRbXy8mZxcfvzCwvKBwMjPWiP4u1hYqLGxeumlevPNqqqxsWrbGgyGK7vHNwxm94zOztaOHTU9Xdu21djY4g8OBtW21estxg9rgeDvYjjCv/56vf12ffxRO3+thtdBo6PV69V33y0/cuvWmpmp7b9uZ2aanb9ttm29ZSPDAV/5rC7B36urV+sff+8uXqwTJ5tjf+r+fLztamS4amSkuq7advhdN/6T2ryl2byp2zUz+MP+0X17asPG27e29Ko7BLCSBH9PhrPxS65fq/n57uNTzfvvde/+sT13sdcfNHWHF7KbmGx+9tOa3jx49mDvueeb3/+uJiZu2dTwSGH8Z2UI/l4NP4evqpGRW5YPBnXpUh05UocP1/HjdfVqXb9e/X5XdXu+TVOTkzU7WwcP1r59Nb2l+/n6Zt265QeY8ONhE/z9+D8n5KdP19yxdu5Yd/b8yOef1+XL7dJnn6Oj1bZLZ/71i42DPftH9u6tHdvbJ7b0tkyb8OOhE/wPYPgSDr/2/ntnw40bdepU99HJ7pNPmzNnmtOn69q1xVX/M+HXPvlks2tXM7Oj+8322rGzmZ5e3ni/vzzswwMS/A9sOIa3bT322PLCK1fqwoU6f75OnKgPjncffNgtDfu3fc63brx++atmerqefrp75plmdrbWr1/5J8GPluAfluFs3PDM/ObL/q++6q78q/5yujnyXh0+1J69UMv3OzZ188zf1FRt2FDTmwf7n20OPNfbvbvGx1fyGfAjJPiVsPSHN6Ojywu7rr79ti7/s94/UoffHczN1fy1ka+/XhrtbzE2VlNT3c6dzauv1oEDi3cHwPcl+BW1dLV/x3n4U6fq6NE6erTOnavLl+uLL4ZvTVM3Tfi98Ua9/PLi/X/wfQl+ld3xEHDjRp08WSc/HPz1TO9vnzWfftJe/3dT1WzaVO+8U089ZYTnPgl+DRmO4V13y+j95Zd19rPu3Lk6NtdMTNRrry2uNWnPfRD8WrQ04dc0y5f9/X59801NTa3qnvGIE/xad8cJP7g/gn9kDN8oZ/I8CKPGI0PqPDj/4gqCCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6C/AdWoZ3gPXGwfQAAAABJRU5ErkJggg==", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "8f5a7b5e13024625ee90e41f10a8fb96687bef96fe215f676263e197d7276717"}
{"episode": 77, "episode_seed": 2662435633, "split": "val", "timestamp": "2025-09-16T00:39:27.574518", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x145549a674c0>", "max_steps": 10, "abs_size": 336, "master_seed": 10000042, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2662435633, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [3.8384130362005457, -1.9316134357082764, 35.74582576534359])</answer>", "action": "('move', [3.8384130362005457, -1.9316134357082764, 35.74582576534359])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [3.8384130362005457, -1.9316134357082764, 35.74582576534359])</answer>", "action": "('move', [3.8384130362005457, -1.9316134357082764, 35.74582576534359])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAK3ElEQVR4nO3d3W8UVQPH8d/sbitVeRFtaBRIsaUxMQ2iBoGY2ADWRCIJIUQjGkRiVPDCC/8OY2KNJnrhy42BJtUYowQhUTRQiwFUtFhFwSittSryYlt2Z56LM3n6UIvUdguzz+/7udsFppuU756ZM2fPRkmSCICH3OV+AQAuHYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheFxcklzuV4AyIXhcXBRJZP9/geBxcSdOqFhMs0dFI3j8kziWpI0btXChXnpJAwMSQ30lixJ+e7iAUklRpH37tHKlBgclacsWvfCC4lhRxIBfkRjh8U9yOb34ogYHlctp+nStXi0pDR6ViOAxtlJJ+by6u7V7tyTFsZYvV0uLSiUVCpf7xWGiCB5jC5d6b7yh3l5Fka64QuvX68oruYCvbASPMcSx8nkdO6Z3303n7RYs0MMPp8+jchE8xpAkiiJ98IEOHVI+ryTRxo2qrk6fR+UieIwWhvGTJ/X66+nDa6/V5s2SlOP/S4XjF4jRwhje2amPPkqH94ceUm3tyB+dh2v6ikLwGC2KVCrplVckKUlUVaXHH1eSXCBtTvErCsHjPCHs7m51dKhQUBxr/Xo1NY210iZJVCzq2LF0UQ4qAcFjtChSW1u6eL5Q0KOPKp9P5+pTpZIkHTqkhgY1Nuq77ySd/zeQUQSP0fr69OabyuV07pxWrdJtt11gcj6svykWdfiwxLl9ZSB4jAijelub/vxTkvJ5rVunWbPSRfUjwoP589XcLEldXdyvqxQEj1SSKJfTb7/prbcUx4pjNTfrvvukv9+Ny+VUKmnGDDU1SdJnn6lYvPQvGBNA8EgVi8rl1N6u7u608DVrNGdO+vxo4Yo9BN/VpbNnL+lrxUQRPCQpSZTPa3hY27erWFQca948bdiQDvtjCCfwTU265hqdPq0vv0yPgmwjeEhSqaRcTjt2aO/e9A7cihVqakqfH0N49qabtGCBqqu1f/+lfb2YIIJHOowPDqqjQ2fOKIpUXa2nn5Z04Y/KhMv466/X7NkaHtauXemBkG18shlp8GGxTT6vUkktLbrllotNvYe8H3lELS1aulTizlwFIHikp+ft7frjD1VVqVTSM8+MY7QO9+E3bEgfcmeuErCnnbvw+//lFzU3a2BASaLbb9eHH6qm5nK/MkwBRnh3YVTetk39/SoUVCxq61bV1PybAXtoSH19yuV0ww0jR0QmMWkHDQ2prU2SSiU1NKi1VRrnBFy4G//qq2pt1ZYtiiJW1GccI7y1sP/s22/rm2/S6bpNm1RXpzge314X4V2hr09HjiiK1N+v2lou5rOMEd5X+CRsFOn559Oxee5c3Xuvomjc99fCu8KKFSoU1NenQ4ckPjaXaQTvK2xltXNn2mmSqLVVixapWBz3TpVhJF+8WDU1+v13ffVVelxkFcH7ShLFsV57TadOKUk0c6YefHBCu9ZddZUWLZKUBs/5fIYRvKkwjB88qN2700KXLNHKlYrjCX3PxB13SNLRozp9WoUCS+4yi+BNhQXzHR06cUKSqqq0aZM0gfPx0PaSJYoiff+9fvhh5ElkD8E7Cl8jdfy42tvTKbqFC7V27USHd0mLFytJ9O23OnJE4jI+u7gt5yicw+/Yoe7udLHNY49p2rRJDMxz5mjzZs2dq1tvlf7hMze4zFhaayfcijt5Uvfco08/VRRp9mz19GjmzDJNt3EfPsM4pXeUJNq3T52d6UbUTz6pWbPKEWnY6IraM4zg7YTpumeflaQ41owZeuABaZITbeEfFwr6+We2qc8ygvcSwjxwQLt2pWtp169XY+PkTsPDP+7t1datWr1aH3888pOQMQTvJWT43HMqlRTHqqrS/ferurpM0+p79+rgQe3ZI3Fin1EEbySMxEeP6r330rtxd9+tZcsuvFPlvzp0XZ3uukv5vA4c0NBQeV4xyo3gjYTvk3j5ZfX3pxvXrVunq69Ov39i4qIona5rbFSppK4u/fWXxFl9FhG8i/BRmf5+vfNO+vDmm7VmzSQW2/yv8IbR0KCaGvX26vjxSR8RU4LgXYThfft29fQoipTLac0aXXfd375GamLCJUFjo268UVGkzs5JHxFTguAthGF8YEDbtml4WFGk2lo98UT6/RNlEKYE6utVX68oUldXOQ6K8iN4F1Gks2c1bZpqahTHWrtWdXXlmK7779HPnVOhoPnzFcfpRD2yh7X0FkLV8+bp/fe1Z4/a2vTUU+VeAht+RkuLvv5ad9457l2ycEmxlt4L69zNMcJ7CXvXhRn7KSk/SdJbdIUCby0ZxAgPGOEqC+UTFuh+8olaW7VqlU6dklh+ky0Ej3L79Vft3KnOTh0+LLH7TbYQPMonXLQvX67p03XmjD7/XCL4bCF4lE9YflNbq/p6JYm++ELilD5bCB7lliRatkySeno0PKyqKprPDoJHuUVRuk19b69+/JFvmMwUbsthCvz0k/bv19Klqq1Nt9RCNhA8YIRTekwNBpJMInhMDU7jM4ngASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAkf8ABISOyXfvxBYAAAAASUVORK5CYII=", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [3.8384130362005457, -1.9316134357082764, 35.74582576534359])</answer>", "action": "('move', [3.8384130362005457, -1.9316134357082764, 35.74582576534359])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAIGElEQVR4nO3d349cZR3H8e85M1MghYIFDKkUlP6wWUvXlEKWeKUJ4Z6/hb+E/wgiKVgQ3YgE6ZYfoVLiprVIyG66c44XZ5R4AXZnB/fUz+t11Z6rJ2nfeX7MzHOavu8LyNAe9gCA/x3BQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBcyBdV31/2IPgrk0PewDck/q+9vaqqmazwx4K+2GGZxlNU7NZzWZ140bt7laVef7eIHj2Zwj75s169dV65ZV6+eV6443DHhN3zZKeZXz9db32Wt25U1X1+uv10kvVNIc9Ju6CGZ5lHDtWGxs1mVQ7qXeudMN+nvETPMt46KG6eLHm8+r7uvJ2t7NjB39vEDz70zTVdTWZ1C/Xq6qfTurm7enWlgX9vUHw7NtwbnfqmW426efzapq6fPnb54yZ4Nm34XzuxE/aU6fb4Ys3b12el+DvBYJn3/4VfK2dXzy58rbW7w2CZ9+apvb26oEH6tzZvqqvqi+3p9evV9ua5MdO8CxjCPvsma5t+6r65pu6cuXb54yW4FlG21ZVnfn55MePt1W1s1PvvltV1XWHOiz+G8GzjGEbf+5cPfV0VVXf13vvLf7AmAmeZbRt3blTx4/XyZOLJ59/Xl99VbOZ5kdN8CxpCPv8+cVs/+WX9f77VVb14yZ4ljRs49fX6+jRqqrtv/V/2pyX4MdN8CxpCP7ixXrkkaqqvXl98IEv2I6d4FlS29Z8Xk89VY8dH+b05qNr7e5uTae28eMleA6kaWp9fdH31tX67LPFr2sYJ8GzvOG47oWNSdtW09TH17qPr/Xlw7kREzzLG4Lf2KjptNq2dnabra3DHhPfS/Asbwj+/Pk69uC866qqef/PzXxek8khD4zvIngO6siRWl9fLOM3N+vWLdv48RI8K/DiryZV1TS1udlvbx/2aPhugudAhol9Y6Oqajar27eb69cPd0R8H8GzAs8+W7PZYhk//Gyu9T9rlPyzsAIPP1xra4uXT73zzuK+ekZI8BzIcFB/9GhdurT461tv7u3u+DR+pATPQfV9Taf13HNVVbNZff7XyRc3fKl+pATPQQ1b91+s9U3N+776aobrrhghwXNQw6r+iSfqySfbYff+1uXeen6cBM9qPHGiefbCYiV/+c25d0uOk+A5qLatrqtjD9XaWlVV09TWx5Pbf6+mcW43OoJnBebzqqpzZ7uqrq/a2W3e/X2Vg/rxETwrMCzgT51ujv+orb52durK73wyN0aCZwUW19SfbX76s6qqvhf8SAmeFRh+HnfiRD399OLJX662u7tePjU6gmcFhrfNNU2dObN4cvNmffjh4jyP8RA8qzGs6i9cqPvvr6ra3q7NP/bl1uqRETyr8e9r6h99rKpqd7fb/ENXtvEjI3hWY9jGr63V448OibcfXZt0nVurx0XwrEbT1HxebVunn5kPL43/9NPy0vixETwrM6zqX3hx0rZNVW1d7a9+5MO5cRE8KzN8/ebSpea++6pt66t/9FtXnduNi+BZmWGGf/75xUH9ZNpe3WqrajIxyY+F4Fmlvq8HH6zTp7quq/levfHbunXL/XYjMj3sAfB/6Ne/ab+4USdP1vOXrOfHpXFTASv3ySe1vV0XLtSRI4c9FP6T4PkB3blT02m5DGM8BM/qdV31fQ2vlGVUBA9BnJ9CEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDkH8CvwB431zU490AAAAASUVORK5CYII=", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "760945e4281fb1770a8428083b307cbdb49ec25a1a95232449951160d1d2cfcf"}
{"episode": 78, "episode_seed": 796230469, "split": "val", "timestamp": "2025-09-16T00:39:28.534608", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x145549a674c0>", "max_steps": 10, "abs_size": 336, "master_seed": 10000042, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 796230469, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-27.570819705092376, 40.82952463188555, 18.00485664184953])</answer>", "action": "('move', [-27.570819705092376, 40.82952463188555, 18.00485664184953])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-27.570819705092376, 40.82952463188555, 18.00485664184953])</answer>", "action": "('move', [-27.570819705092376, 40.82952463188555, 18.00485664184953])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-27.570819705092376, 40.82952463188555, 18.00485664184953])</answer>", "action": "('move', [-27.570819705092376, 40.82952463188555, 18.00485664184953])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAALOUlEQVR4nO3cXYhUdQPH8d+cmXENIrMUodR0LSlDRcKlooswJGGJdNctcTW36EaxDfLGyMAKpboIzVYlScVcI3dLowKpCHulKLO0QHrZNl+ykDQzy3Vmznkuzmnd0uehZ53dmd3f94MXol78Yf3O/+X8z6SiKBIAD0GpBwCg9xA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjPSF4KOo1CMA+om+EHwqpShSGJZ6HECfV/bB//mnDhxQKqUgUD5P9sD5KO/gCwU99JAmT9batfr+e2UyCgLlcmQPdE8qKucd8q+/avx4HTwoSePGqaFBdXUaNUqSwlBBeX9aAeWnvIPP5fTee9q6VRs3qqNDkiZM0PTpWrBAw4YpipRKlXqIQF9S3sHHwlCffqr167V+vXI5SRozRitXqrr6zDzPhA/8C2UfST6vIFBVlVav1q5dmjdPF16on37SkCFSlyd2QaAwVKFQwpEC5a8vzPBRpCg6M4F/8IEOHNAddyR/8sknevNNzZqlykpJyuWUTjPbA+fUF4LvFA+16779999VXa1331Vlpe65RzU1uuYaScrllMmwwwf+oU/NhKmUUimFocIwmfajSJMn66KL1NamJUs0Y4YefFBtbcpmk+s6ALroUzP8f7N7t7Zs0Zo1OnlSkq68UrfdpsZGjRqVNN91RwAY6+PBd13kf/21nn5amzbpxAlJ2rxZ9fVnHt3Fl3PT6dKNFSi9Ph68zjrSa2vTI4+ovV3Nzbr8ckk6eVKHD+uqqyQlx/hkD1d9P/hOXe/hdHQk93AlrVihZcu0cKFmzNDEiRIn+fDVj4KPdS7d4/7/+EO1tdqxQ5JGjFBdnebN04QJEnd14KjfBR/rnO1zOX31lbZtU1OTfvlFkkaN0rRpeuCBZJEPOOmnwZ+trU3PPac1a3TsmCQNHaqlS7VgwZl/EIbJYz+g/zJY08bv0lZWatkyffml7r9fl12mI0c0ZoykM1+tEQSKIi7non+zmeG7Hul9953eektz52rgQAWB9uzRq69q6lRVVUl/3d5ne4/+yCb4Tl3P6goF5XKaP18bN2rYMNXVafZs3XCDJN69Rb/kN4/F79Xl88nT+yDQ9ddr+HD9/LOeeUa1tWpo0GefcTMX/ZLfDN9V5zTe3q4XXtCqVTp8WJLWr9fddyufVyZT2gECxeUd/D8cParHH9e+fWpq0ogRPKhH/0PwkriEAxcE/3dnv3IP9CPsUf+O1NGvsY4FjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvDdF0XK5xVFpR4H8K+lIv7DdksUKZU6x++BcsYM3x1x4W1tWrRIR48qlVIYlnpMwL+QKfUA+p649h9/VH29PvpIbW1at05DhqhQUDpd6sEB/xNL+v9bHPytt+qNNzRwoE6dUnW1NmzQ0KE0j3LHkr6bFi7UkCE6dUrZrF5/XfX1OnJE6TRre5Q1Zvjue/tt3XWXDh1SJqN8XjffrOef1/DhzPMoX8zw3RFFKhQ0ZYqamzVypPJ5DRignTs1e7ba25VOq1Ao9RCBc2GG7758XpmM3n9f9fXavz/Zz994ozZv1ujRzPMoRwR/XuLmP/5YdXU6cCBpfvJkvfiiRo9O/hYoHwR/vsJQQaBdu1RTo/37NWCATp/WpElqadGYMczzKC8EXzRffKGZM/Xtt8pmlctp/Hi1tmrsWJpHGeHQrjjCUBMnavt2jRunXE6ZjPbu1e23a88ezvBQRgi+OIJAhYKuvVatrRo/Pjm337dPM2fq889pHuWCJX0xxav3b75Rba327lVFhTo6VFmp1lZNmsQZHkqP4Issbr69PVnPx82PHKmXX9Z119E8Sozgiy++bP/DD5oxQ7t3J2d4w4frpZdUVcUZHkqJPXzxpVKKIl1xhbZvV1VVcoZ38KBqavThh+znUUoE3yNSKRUKyUr+ppuUzyub1aFDqq3Vzp00j5JhSd+D4h37kSOqq9M77yRr+0sv1datmjKFtT1KgOB7Vlz1sWOqqdHOnck9vEGD1NKiqVNpHr2NJX3Pit+QHzxY27bpllt0+rSyWR0/rpkztWOH0mnl86UeIpwQfI8LAkWRLr5YLS2aNi05w/vtN915p157TZkM+3n0HoLvDfG3XA4erOZmVVcrn1c6rRMnNGeOXnklWQWwtUIvIPheEgQKQ11yibZs0fTpKhQUBDp+XHPnqrVVAT8H9AoO7XpV/C7t6dOaM0ctLcl3Y2Wz2rRJs2YpDJVK8RX36EHMLL0q3s8PGKDmZs2alTy3y+VUX6/Nm5NVAJ/A6DkE39vie3jZrDZu1Jw5SfNRpIYGbdjAfh49i+BLoLP5Z59VQ4Py+WQPP3++1q1TOq0oonn0CIIvjXijXlGh1at1770qFJJvwm1s1Nq1CoLkQwEoLoIvmXhWv+ACrV6tBQsUhgpDdXTovvu0apUkmkfxEXwpxWd42ayamtTYmJzh5/NqbNRTT0libY8iI/gSi6fxKNLKlVq0SIWCMhkFgRYt0hNPJJ8INI9iIfjSi/fzhYKefFKLFyufVyqlbFaLF2vZsmTlT/MoCoIvC/F9mzDUY4/p4YdVKKhQUEWFlizR8uXJJwLN4/wRfLkIguTX0qV69NHkAG/QII0dK/31tVnAeeJqbXnpDHv5cq1YoaYm1dXx2jyKhuDL1759uvpq5nYUE8GXNWpHcbGHL1/xy3NAETHDA0aY4QEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjAyH8AnNIyWCnMm8AAAAAASUVORK5CYII=", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "d00cbcacbf0f5f5e21caa0830aa1334b2a532697c66466c67831388a25edc5ba"}
{"episode": 79, "episode_seed": 939688907, "split": "val", "timestamp": "2025-09-16T00:39:29.145312", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x145549a674c0>", "max_steps": 10, "abs_size": 336, "master_seed": 10000042, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 939688907, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [3.6635755657345737, 1.944999279138087, 57.02366851105554])</answer>", "action": "('move', [3.6635755657345737, 1.944999279138087, 57.02366851105554])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [3.6635755657345737, 1.944999279138087, 57.02366851105554])</answer>", "action": "('move', [3.6635755657345737, 1.944999279138087, 57.02366851105554])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [3.6635755657345737, 1.944999279138087, 57.02366851105554])</answer>", "action": "('move', [3.6635755657345737, 1.944999279138087, 57.02366851105554])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "1cdc8904f7711b8a9a08de483bc008cfae533c03bc8776b49c2a809ed5a1e0ee"}
{"episode": 80, "episode_seed": 36928225, "split": "val", "timestamp": "2025-09-16T00:39:29.759873", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x145549a674c0>", "max_steps": 10, "abs_size": 336, "master_seed": 10000042, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 36928225, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-2.854728422169845, -0.026529214561433145, -23.989872157746746])</answer>", "action": "('move', [-2.854728422169845, -0.026529214561433145, -23.989872157746746])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAK5klEQVR4nO3dS2hcZQPG8efMnFwGY+jYZKGJTYxtQ0ibKqgUYlfWKrgQewHFG6igUIouRaQbQQVdCEJ3olRaQUQawYWCLtwoWgqaprbEWk1j66UxsaaSy8ycb3HeJpbPeGmnndN5/r9VJuni7eT8857Le+ZESZIIgIdcrQcA4NIheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMBIXOsBoB5UKpqdVbmsQkH5fK1Hg6Uxw+P8JYkkvf++7rtPfX0aHNS330pSpVLbcWFJzPA4f5WK8nkdPqy335akK67Q+LhWrQp/CJBBzPA4f7mcJN1yi5qblcvpzBmdOCGJ4LOL4HH+okiS1qwJX0RR2KXPsVllFb8ZXKhiUStWqFJRkujIEc3OKpdjks8ogkcVDAyEL0ZHNTlZ06HgbxE8qmDdOkmKIh05oqkpicP4rCJ4VMHAgKJIcazfftPPP9d6NFgaweOCpDN5X5+SRFEUJnmdPZ+HrCF4VEGxqI4Ozc8rSTQ8rEqF4DOK4C+hJKnXNWiFgtauDbP98LBmZ2s9ICyB4C+VSkWVSv1doU5n8kJB/f3h5fCw5uYkzttlUr1tfxlVKimXUz6v8XGVSrUeTZWlO/Dp8puGBk1M6Kefaj0mLIHgL4k41tGj2r5dd9+tzz+XpHK51mOqmnQm7+kJhyxRpK++qvWYsASCv5jSI/apKT37rDZu1K5dOnBAe/ZIUhTVzS5vulff1qb2dpVKShKCzy7ulqu2JFG5HG4Kz+W0d6+eflrHj0tSsahHH9VTT0kKl7DqSFubenv1yy+S9OWXtR4NlsAMX1WlUliAEkVhep+e1vHjKhb18MP69FO99JI6OqS6uk6d/leuukorV4bvDA/XcDj4O8zwVZKehI9jlct65x3dfruKRUnavFk//qj167Vpk6SwPKW+RJHKZcVxCD6KdOqUTp7U1VfXemT4P8zw1ZBeb4tjDQ1p61bde69efVVJoiRRW5t27tSmTeHotu5qT6V7M11d4WWpFCb5Ol12cBkj+GrI5fTZZ7rnHt1/v/btk6ThYZXL4cxcqRRmwDqtXWdvgF+xQsWikkQzMzp4UOJSfPawS38B0t34Y8f03HMaGtLp05LU36+dO3XHHYpjSeGQvt6lf8quvVadnZqcXDxRT/BZU//bYpVVKuechN+zR489FlaWrVql7dv1+ONqbq7tGC+9dFems1MdHWFnnltosong/4tSSXEc9l/Tw9OODiWJurv14IN68kktXx7+Zf0erv+lKNLcnBob1dkZvvPrr5qY0PLlbu9E1hH8v5OegYtjnT6tV17Rli3q71eSaHBQe/dq5UrdcIOkxcnfdRtfuDI3NaXDhzU4GD7ZFhlB8P9k4T7vKNKuXXrjDX3xhUZG9PrrKhTU2KitWyVpfl5x7Lxpp/s9vb1qadH0tCYnNTpK8JlD8P8kPTzdt0/PP6/9+yWpoUGNjYs/ShfbNDTUdpg1txB8sajpac3Ph8N4zttlCpflllap6Pff9ckn2rhRW7Zo/341Nem22/Txx9q9W4WCdPYkPFPY2b9+11+vZcvCd44dk8R7ky3M8OdKr7Tl80oS5XL64ANt2xZ+tGGDduxYfIlzRZHm59XYqGuuCSfqf/hBU1NatozzdhnCDP8n5XJYMLewed54o7q6dNNNeu01ffSRtm0LH7+Ov5Lu1a9dG16eOKHvv5fYq88Sgv/T9pjPa2xMDz2k994Lz1Lo6dHQkN59V488ojgOn2PBbLWE9I3p7w9LjcbHNT4uscA2S7x36dOLbenENDWll1/Wm29qbEyHDmn9erW3K0nCR66nJ+EN1sxdiDT4gQE1NalS0dycxsYkZvgs8d6C04ttk5N66y29+GK4a729XbfeqkIhbL/pknj7k/D/RvqG9fWpuVlnzkgKj5pLT4mwY5QFxsEniU6d0ocf6oUXNDIiSe3tuusuPfPM4hOPo4izzP9JkqhQ0HXXaWJCkkZHNT2tlhYm+axwDT6dcYaH9cADktTcrM2b9cQT2rBh8ac4X+vWhSUL33yjiYkQPO9oFrgGn7r5Zt15p+JYO3aED6hIj9XZNi9M+mzJXE5Hj2piQl1dzPBZ4Rp8mvSVV2r3bjU1qbU1XIHnWL0a0hOdcayZGZ08KfneW5A59pfl2tvV2rr4WXSoht7esPAuivT115Lq7wEclyv738PCbXDMQdXT0qLe3vCouYMH6+/RG5cx++Dr7uOiayt9L5ubF9fbjYyES3QcxmeBffC4COJYa9ZIUj6vQ4c0M1PrAeEsgkeVpTN5OsPHsf74IyywRRYQPKosDT79yOp0mWL6IBqOnLKA4HFRFIvq7uZRc5lD8KiyhSdP9faGlzx5KjsIHlW2sKZp9epwI8KBA5qfr+2gEBA8qi/9JJGeHpXLKhS0erWmpmo9JkiSooTLo6i29Fl7Y2P67jt1d6ulRa2trGPMBIIHjPBXFxfRwmzCNbmMIHhcRHSeNZy0A4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGDkf7EOSsnor3WTAAAAAElFTkSuQmCC", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAK7UlEQVR4nO3dX2iV9QPH8c/5szmTalNPf+jPyjkC90eT1Nk0E8mCwsAWdKFXBRUidVkRUgT9gS6CoNsimXXRRbusLuzPapLSZHNBYM02kaLVZDqy7Zzz/C6+X7MEfxpsO+c8n/cLL86OXjxynvee7/P9Ps9zMkmSCICHbKU3AMDCIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXhIUrmsJKn0RmD+ZRI+Z8BGvtIbgIoplZTL6cMPNT2tjRt13XVavrzS24R5xhHeVJIoSVQsats29fdL0q5d2r8//hZAWnEOb6pcVjarH37QqVPK5ZTNqr4+vo8UI3hTIexjxzQ2plJJ+by2bZOkLHtEqvHxmspkJOnYMRWLkrRkiTZulAg+7fh4HSWJ8nmdOaOhofjOzTfr9ttVLsdfBEgrgncUJmrHxvTdd/GdzZsruDlYOATvKAQ/Ohpn7CTde68kDu/pR/COwon60aPKZJTJKJdTd7dE8AYI3k6SKJPR9LS++SYuxXd2csmNC4JfQElSPcvcf/yhgYF4hN+6VXV1ld4gLAiCXyjlcrzYpTocP67Tp1VXpyTRPfcok+HmGQvVsv+lXLGobFa5nE6ejAvflRNO1L/4QpJKJV11lVatkkTwFgh+QeTz+vFH7dmjhx/Wt99KUqlUwc1JEn3+edyKtWu1bJnEjJ0H7pabT2EMf/q03nxTvb06cUKSent1991xDF2hyKamdOSIslmVy9qwQY2NFdwWLCiCn2tJcuGOs2xWBw7ouec0Pi5JTU16/HE9+6ykOF1Wia3LZHTokKanlc+rXNZddymbVbGoPPuCAT7kORW6CemE7M+e1fi4mpq0Y4eef1533BH/ZYWOp+FEPYzni0UtW6aWlgpuDhYawc+RMAmfz6tU0kcf6b771NQkSTt36pdf1NWl7dslVcPQOZPRl1/G152dWrkyvgkHTNrNhXCuns+rr089PXrsMb39dnzExPLl2rdP27erWKx47UmibFYTE/rpp/jOqlVqalKpVD3LhZhfHOHnQjarQ4f0xhv67DNNT0vS8LBKpbjMXSopk6mGU+RyWbmc+vt19mx8p739X3MOSL3K74U1LAzjR0f1yivq69PUlCS1tWnfPt1/fyy8OlIPQvADAzH4G2/UmjXxWnqYqJZ9sWaUy/+ahO/t1RNPaGZGklpbtWePnnxSDQ2V3cZLCetwg4Pxx1tvVUdHxc8zsKAI/r8Ik/DhfDdcFX/TTUoS3Xabdu/WM8/ES1hUFZNzFwmH99HRuEQoqbVVS5ZoZiY+zQ4OCP7KhBm4fF5TU3rrLT3yiNralCTq7taBA1q5UmvWSLpw8K+y2nV+YnFwUD//LEn5PM+0ckTwlxOO1eHPO+/ovfd0+LBGRvTuu1q8WPX16umRpNlZ5fPVfDYcVuCHhvTnn5J07bUE74jgLydcA/vxx3r1VR05Ikl1dXEQHP6qWFQmU+X3l4bRycyMRkbiVi9dqs7Oqrp/DwuB4C+tXNb0tAYH9fLLOnhQSaJFi7Rpk156KT4gRtU1Cf9/hBX4Eyc0PBwP9evXK5er7C08qIAa2FkXVFhpy+ViIp98okcfjX+1ebP27r3wY00JR/LRUR0/HqcXtmyRqnGqAfOL4P8hTLmFMW44Dt55p5qbVSjo6ae1e7fq6uKTnGstlPB/GhmJ3zlRKsXgGc+7Ifh/LKHlchob04svqqdHO3YoSbRihfr6tHSpbrklnq7XwgD+ImGwcu5cvBO/WNSKFfGeGbipvd13LoXFtnCYC3et79+vsTF9/726ulQoKEm0erV0fhK+BmvX+V9oExMaGIjvbNnCsd1UTe7BcyYMzicn9cEHev31eElKoaBNm7R4cTzshyvhq3sS/kqcPKmxMdXXa2ZGW7fW3EkJ5oZx8EmiiQl9+qlee00jI5JUKOjBB/XCC2ptjefwqbjQPBzMw+E9SZTLad26+Jrs3bgGH3b24WHt2iVJDQ3auVNPPRW/cil1KZRK8R742Vm1t/MUel+uwQfr1umBB5TPa+/e+ICKcK6ertolnTunr76KN890d6uxUWJNzpJr8GFnv/pqvf++Fi3SNdfEFfjaP1e/SBisjIzo99/jqmJXV3yaHfN2hlyD/1uhIEnFonK5Gp2Ev6wk0cGDymQ0O6uGhvhYPZ5C7ymdu/h/EHb8lKau84vw4cpgSR0dam6WGM+7Su2OfqXSvuOH740cGoqvV6/WDTekb1ISV4rTuDQL1wEfPqwzZyQpSdTREZ9CT/CeCD7NwlN5+vvjkzUbG9XWJqV/WINLIvg0C+ftAwPxRUuL2tsl7pkxxiefWkmiujr99lt8ppWklhZdf338Jlt44pNPrfBwi6NHdeqUJGWzWrtWYkHOm/0sfXqFE/ivv9bkpHI5NTZqwwaJ8bw3PvzUCnf9FApqblappIYGrV9/4W5geMokjPBS7a+/NDmp8XH9+qseeogVeHcEb4TawfAu/cJzfcTyO5i0c0Dn+BtHeMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNG/gfKdW+97tgwBgAAAABJRU5ErkJggg==", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-2.854728422169845, -0.026529214561433145, -23.989872157746746])</answer>", "action": "('move', [-2.854728422169845, -0.026529214561433145, -23.989872157746746])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-2.854728422169845, -0.026529214561433145, -23.989872157746746])</answer>", "action": "('move', [-2.854728422169845, -0.026529214561433145, -23.989872157746746])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAISElEQVR4nO3bW6ildR3G8edda+89eEJIwQMUUVBiOneF1o0zKgmR5lxNGSqikVhhoiFUHooQExzUJAi10IvS1FDQMBDUIgUvBBFBO6FIBZpmVjruvdbbxZ4ZxyjK0tkz83w+13vD/+bL713/wzCOY4AOk7VeALDrCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCH6XGsfM5xnHtV4HrQS/i4xjVlYyDJlMMgxrvRpaCX5XmM0yjllYyGuv5Sc/yXPPJTHnWQOCf2etDvbpNJNJfnrPeMYZ2bQp11yT+XytV0alYTRo3jHjuO3r/Rc/H6+7Lnffnde2DuvWZd9988ADWb/+jT+AXWNhrRewF5rPM5kkyTDk17/O5ZfO7/vZ8PwLGYZhMsnWrdm6NU88kfXr1c6uJvi30+oO/HSaJL//Q666crzppvEvr0ySTCaZz7Nu3fzjJ+Yb35p88APGO2tA8G+PcczycpaWkuTZZ3Lrbbniirz00pAM04XMVrK0lI99dP7Vrw0bNqicNeM3/NtgNtt22PbHP+aO28drr83Tv0oyLC3l9deT5PiN87PPHjZ/esj2zXmznTUh+P/LOGYcM5lkNsuNN8y//4PhkUfGZLIj9WOPzTlnj5s3D/vsm9ls2zk8rBXB/y/+aUrf/uPx6i15+OEkw8JiVpaT5L3vzcUX55RTcuihSbKynIXFtVkt7CD4t2w227YtN5vl4V/m61+fP/zIsHXrMJ1mNkuSg981+/IFw+c+Pzn4oCTbzuF9w7M7EPxbsOPC3Djmscdy5ZW57bZ5MlndgU/Gww4bN30qX7t0cughyU4f/LCbEPx/ZfXC3OJikjz6aG65Jddfn/k80+nqe5jxoINyyifHCy6cfOhDb/yLqc7uRvD/2Y6LNE8+Od50w3jzLcPzL2Q6HSaTLC9nGMbTT8+ZZ+a444bs9MEPuyHB/1s7j+g/vZirr5rfetvkN7+dJ5OFhaysJMmmTTn33JxwQpIsL2+7Mw+7LcH/C6uv1lcH9d/+nu99d/6d64ff/i47btEkOeaYXHJJjjsu++yTJCsrWXCJid2e4N9kHDObbUv35Zdz7z3jZZfn6aeHJNun+nj0keOFX8lpn53s2Kv3xJ09heDfsHqoNp3m1Vdz333ZsiUPPTQmw+JilpeTzI86ajj9tPmXLpiuW0rcmWMPJPjkzYP9rrvGm2/OnXcOSRYXs7KcMfP3v2848/TxrHMmhx+uc/Zg7cHvvDP34IPjddfM77l3+trWLC5mPs9slgMOGM8/P5s3D0cembhFwx6uN/gdh21Jnnoq37xsdu9905deGodh2xOX6TTnnpvzzssRRyQ24dkr9Aa/6tlnxi1bxhtvzCt/nSQZJhnn2W+/nHRSLr00Rx+dvHnTHvZopcHP53n22fzoh+NV3x5f/PNkGDKdZmUl65bGDRvGiy4aNh4/7PhLU529Rl3wqwE/80xOPjmPP54k25+yzk88cTjrzHHzZyZx2MZequ6yyDBkHHPggVlayup52+uvzz/y4eELX8yppw777z+svlr3Ac9eqW7CZ/vO/P3354QT8u735LJLxk98IoccOiRZXs7CgsHOXqsx+Gzfh7vjjmzcmIMPTpy30aE0+J25SEOPut/wO5M6baqDlzptHDFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDkX8A2mHoXFQPstkAAAAASUVORK5CYII=", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "7ff412c67dc181ef2cfae7aef25ca9c94612894798bb440a57dd19ea73036a06"}
{"episode": 81, "episode_seed": 2578226913, "split": "val", "timestamp": "2025-09-16T00:39:30.376432", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x145549a674c0>", "max_steps": 10, "abs_size": 336, "master_seed": 10000042, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2578226913, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [3.4380121501021637, 0.2454284335085595, 31.463663282014636])</answer>", "action": "('move', [3.4380121501021637, 0.2454284335085595, 31.463663282014636])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAK4UlEQVR4nO3dbWiV5QPH8d855z5bFEGzdEVUOhv0aMtkGLNsvigK2RATQvJNRMxhESPLuYatF5NsZroMckUaPVkULqKH4VgKgxESUYMkXwRKhD1Qzsy283D/X9zHqfz58xd0O+fcv+/npa/u47m/57ru67rOWSIMQwHwkCz2BQCYPgQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBI+7CsNhXUEIIHrGWyxX7CkpLIuTzD7GXzyvJ2CYxwiOeJoex3bvV3q5kUvl8US+oVATFvgBgCuRyCgJ98YUefljZrObO1aOPKpdTKlXsKysyRnjEUSqlfF633aaGBiUSWr9eIyNKpXik5xkeMRWGSiR06JAaG/Xzz2po0Kef6rLLzJ/nfV85Yi6RUD6v2lq9/LKCQMPDWrdO2azC0HmjjuARX8mkwlAPPqgnnpCkvj69+65SKefgmdIj1qLb+59/tHSpvvpKVVUaGNCCBYUJvx9GeMRaIqEw1CWXaNs2XXml5s3T1VdLvsfvGOFhIFqoO3hQl1+umTOd9+cIHmaiyXz0EeA3sWdKDxuT6/MjI1qzRgcOKJFw25lnhIeZTEYLF+qbb9TYqA8/VFWVJJ+deZfXCUhSGCoItHq1JA0NqaenMKW3GfYY4WFpzRpt367KSr33npYt8zl+R/Awk88rkdCvv2r5cg0P66qrtH+/rr++2Jc1TSw+1YDTkknlcqquVk+Pqqr0yy9qadHJkyazepfgvQ9Q42xBoFxOCxdq0yal0xoc1LPPmqzYx//78NFWq9luK/6fZFLZrB55RPv2aWRES5YU+4KmSZyf4aNRPVqL+fpr/f23z9uKcxANBX/8oRMndO21JodwYht8LqdkUomEjh3T1q3q7lZ1tUZHdemlJu8szsHkrRAdts1mC0du43t/xPAZPgyVySiVUiKhzz9XY6M2bFAmo8OH1dJS+EI0IJ36ak20bh/dHxs3Fg7exlTcnuGjaXw6rYMHtWWLduyQpHRamYwk5fPKZnXRRQzyOCXKO5XSW2/pjTcUBLr9dt1/f1xvkVhN6SdPT7zyinp79eOPhQlaLqfrrlNHh1atonb8l2iEP3JEzc369lvV1GhwULNnx/I0ThyCj15B1PCBA2pv1969klRRoYkJSWpp0dq1qqkp3iWixEVt79+v5cv1++9qalJ/v6T4DQ5l/wGWyxV23cbGtH69Fi/W3r2FgX1iQrfeqoEBbd+umhrlcjy943+IdunuvlvPPCNJn3yi55+XYviHa8p4hA9DZbNKp5XP67PP1N6u0VFJhR8jrq7WY4+po0OVlRJ/egTnIhrPH3pIu3erqkpvv60HHojZrVOuwU/uun3/vXp71dcnSZWVGh+XpKYmdXSovl6K4aQMUya6V377TUuWaHRUt9yiwUHNmhWn5svyZUSrqmGorVvV3Ky+PgWBkkmNj6u2Vq+/ro8/Vn19YWWe2nGuol26mTO1ZYtuuEErVyqdjtmIUU4j/JmLc8PD6uzU0JAkBYGyWUl6/HE9+WRhcc74Z8twHqKbLJfTkSOaM6fwL9EHQSyyL5vgJwP+8091d+u113T8+OkN9vnz1dOje+5RIlE4LhWLdwdFNRn5v//GZju3DKb00eJcKqWJCfX368471dOj48eVSimTUXW1uro0PKzGxsIZiiCIwfuCYosO242NqbdXixfr6NF4nMAr9RF+cmD/7ju99JJ27ZLOODnX3KznnlNdncTiHC6s6H764QfNm6dsVitWaOdOVVSU++yxpEf4qPbxcW3erKVLtWuXUqnCwH7TTXrzTe3Zo7q6wl5pOb8LKD3Rc/uNNxY25Pv7tWOHgqDcz3KU4gh/5uLc0JC6urRvn3Tq5FwiobY2tbaqpkb5vMKQxTlMmTBULqcVK7Rnj2bMUH+/Fi0q6126kgt+cg7/11/asEE7d2ps7PQ6fH29enp0112SlMnwuI4pFk3sf/pJ992nQ4e0YIG+/FIzZpTvA2QJfVBFX2WL5vAffaT587Vtm8bGCqcer7hCGzdqeLhQez6vdLpM/89RPqJdnzlz9OKLmjtXnZ2qqirf2lU6I/yZi3ObNumdd6RTc/hkUsuWqatLN98ssTiHaRbdcNEqcTpd7Ks5XyURfDarINCJE3r1VW3erKNHFQTK55XPq65ObW1atUriLA2KrvxHmyIHP/kfODCg7u7C4lz0xJ5I6Kmn1Nqq2bMLX4kr24USxEL5167iBj/5I4IdHXr/fR07dnqDvaFBL7yghgaJxTngwily8B98oKef1uHD0qmvtc6apXXr1NqqysqzfnYWwPkrZvATE4Uvq0eLcxUVampSd7dqa6Wzd+MBXBBF/hHLiy/WyZOamNAdd6itTStXSvzpCGDKFHOEj36vJgi0dq1Wr9Y115z+WQsAU6GYI3w2q3vvVWenFi2SpEwmBtucQEkr8qLd+Hjhi8YszgHToPgHb6IfBWcaD0yD4gcPYNowjQaMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeM/AfsvvWRi9CwzwAAAABJRU5ErkJggg==", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [3.4380121501021637, 0.2454284335085595, 31.463663282014636])</answer>", "action": "('move', [3.4380121501021637, 0.2454284335085595, 31.463663282014636])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [3.4380121501021637, 0.2454284335085595, 31.463663282014636])</answer>", "action": "('move', [3.4380121501021637, 0.2454284335085595, 31.463663282014636])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAIxElEQVR4nO3dT6ildR3H8e/zPOfOzFJwUTvbCepCMaIh0tIQGxUyGf802UwqDZiaaBOTFv5JwYhkJkuICpqFZlPStBADU5pFLYoQiQkUwb8oqSONMY4z95zn1+IMmKAoVF7v+bxe27v53Qvv+/v3POd0rbUCMvQrPQDg/SN4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4FlZrKz2CDx7Bs5jGsbpupQfxwSN4FlPf15EjtWtXvbLfVP8mwbNoWqtxrCefrM2ba8uW+taNretqNlvpYX0wdM1/PxZIa9V1NZ3Wxo21Z08tLdXycvvZT9tll/fjWH38BBf/B2CxdF2NY00mdfHFdcwxNY7V992269tf/tz63jwveBbOfIa/6KLaesU4m7VhqFcPDNd/vdu/v/q+xnGlx7eiLOlZQONYXdVsrA1nzx56uF+7rjv8Rvva1W3HD/rZrPo+9wBf8Cym+Y79iSfqjDPqhReq72o2jrt+Xl/a3M9mNQwrPb4VIngW1vwA7/7724Ubqx+62Vgf/lB76KHuxBOP/iiQPTwLa36Ad8EF3XXXtel0HPp68cVu61faG4eqUp/DEzyLbN78Ld/pzzqrm05rzZr6459q+/bqutDgLelZcPMd+2OP1bnntuef7+a79127atOmWl6upaWVHt/7S/Asvum0JpO6557asuXopd1xx7UHHuhOOKHSDvAs6Vl8k0mNY23aVFdddXRWf/rpuvrK8V+vtfmaP4fgiTB/nP6mm2r9+nbkSA2T7pG93e23H13e5ixzLelJMb+K27evffIT4z9fGyZLNQy1+5d13nlBt3RmeFLMV+8nntjd9cOutXGc1RuHausV41NPBR3aC54g8+Y3fbG/9tp+Nqs1a+rFl/orvjwePlytRTQveILM1+2t1Te3t49/bDxypA1DPbK3v/nmlHfp7OGJM7+Ke/Sv49mfrf2vdl3frV1T993Xzj23W/hbOjM8cYahZrM65dT+ttu6rutaq4MH66qruscfP/qjBSZ4EvV9LS/XZZd3l24aZ9NaWqpnnqnt2+vgwer7Rd7MC55EXVdLSzUMtfOu/uSTa3m51qypPXtq58622Cf29vDkml+/P/ponXlmHThQrVW12e8e7M46u1/Um3kzPLnmk/kpp9Qdd7TW2jBUq2Hr1nruuVrUR24FT7rZrDZv7i7dNE6nbTKpp5/tr7mmTadVi/jIreCJ1nXVdbV2bX1/R//RU2s6bWvX1W/3tO99d1zIm3l7eDh6M7/3D3X+549u5tetbb++v23Y0M9frV0YZnioYajptE7/VH37xnEc29JSHXqju+GG/rnnajJZqIW9GR6Omp/Mf+Gi2S92D/OvrLnwwrr33q5qcR6/M8PDm1qrnT8aTjqpLS/XMHS7d3c7dtQwLM4kb4aHN80/zX7v3tqwoQ4dqq6rdevqwQfrtNNqMb6abvX/BvC/0/c1ndbpp9ett1ZrNQz1+ut15ZXt5ZcX5GuqBA9vMV/AX3ttXXJJLS/X2rW1b19d89XpkcM1jqt+bS94eIv543d9X7fdVscf3w4frr7v7vvV5O67azKp2Wx1N28PD29jfjP/8O/Hc86p2di3qmOPbXt+061fv7o386t24PD/NAw1jnXmZ/qbb+6m0+pavfSP2nrFbP8rbVW/Pyt4eHvzU7pt27rzP9ems1pa6v72937bN7rpdBW/SGdJD+9o/ijOM0+3T58+PvXsMJnUdFq7d9fGjav1k63N8PCO5i/JHveR7sc/6detG6fT2rixTj11pYf1XzDDw7uYn9LdeWcdOFC33FJVq3V6L8HDu5p/ZP38Rdr5szer95Re8PBezWbV96t1bp8TPLwnq3cZ/59W7dIE3l8LUHsJHqIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoL8G55EONtdCbCIAAAAAElFTkSuQmCC", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "b8531a49fefced99315605b01060afd9b911b3c0d0e364593560e020bc9d7309"}
{"episode": 82, "episode_seed": 1975584416, "split": "val", "timestamp": "2025-09-16T00:39:31.336568", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x145549a674c0>", "max_steps": 10, "abs_size": 336, "master_seed": 10000042, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1975584416, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [4.508115247503776, -12.234385533249977, 15.539978852624794])</answer>", "action": "('move', [4.508115247503776, -12.234385533249977, 15.539978852624794])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [4.508115247503776, -12.234385533249977, 15.539978852624794])</answer>", "action": "('move', [4.508115247503776, -12.234385533249977, 15.539978852624794])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [4.508115247503776, -12.234385533249977, 15.539978852624794])</answer>", "action": "('move', [4.508115247503776, -12.234385533249977, 15.539978852624794])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAHQklEQVR4nO3aX08c1x3H4d/sAjEuaesQ7AA2RuA/WL3JG8v7yNvJO8hl7qMGA3bNVk7AMqpxFbnAsju9WMuQtZOSVrXxfp9HKzQCFp2R+Ow5Z2aatm0LyND50AMA3h/BQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQ5CpDz0AmEBt+/pVVd3uhx7NOU07GhTwX3k7oKb5EOO4GDM8/Gdvqh4dNM1Z1e/Mu9er7e364YfqdOqrr97LEC/GDA/jRk2MLcvfDvv0tE5O6uSkDg7q4cPa3q7NzXbz+9PHu91X/+r0+3V8XIuL9fTp+x7/bxA8vA57OHx90O2+Y+P96lW9fFn/fDk8PGx6f2+2tmpnp7a3a2urDg/Hf7npVDusqmqaevq0lpbew0lciCU9id60PZrvpqeraapz7p7Vzz/Xs2f17Fnt79feXu3u1u5uPXlSTx61/3jZVp19HnQ6NTNTbVv9/tnb22FVDf/8p+bmrebgoJaWqm0vxd7eDM/kG9uBd966GX10VL1e9Xq1+7dhb7f9cb/700+1t1f7+3VwUFVt1Vms0zPVVA0GNRj84o/8cW64stqsrjarq7Vyq138Yri03Fm+2dy+XVeu/P9O7vcRPHH6/drZqZ2devSotjcHj580Lw47L17U4WEdvmjbas8/nzKa+UcrgvNmZ07vP+jcvde5e7fu3auVlfrsWnvts+batfr00/d9RhcneCbWYFCn/To+qV6vNjdra6sebg4e/rXdez51dFRHR3V8XMPhL2bvMU1T3W5NTdXsleH66vD+X6YePKiNjdrYqPn5dna2rlxpPvlk/F1tW4PB6zX86PPiMizmRwTPBPruu/rmm3r8uDa/P9153DnuX+SJ0naq2/xhrubmam6urn8+2HjQ3H/QuX+vNjZqdbWmfv1612j+H1V9/usl5KIdE+jbb+vrr0eHU91uTU/XcDi+5W6aWliohc9r4XotLLS3lwbr97prd5r19Vpbq6b51efjxqbIsat9l5zgmSjDYXU69eWXZ98ZDGowaKuGN653bq00Kyu1slJLS+2tW83yci0v182bNTPTnG+hbev09OzpmvOP2dQlnr0vQvBMoMXFunGj7t6ttbVaX687d5ovrjfzCzU/X/PzNTtbY/v2fr/a9vVme/T6jQX8R80engnU79fz53X1al29WjMz4z8d3VE7f0Xto560fxfBM/ne7N7Pr9IzCZ7J9Ob/Orbtd5rQnQrxdP5OH8/9BOB/JngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngI8m8LQkcz5DS/4QAAAABJRU5ErkJggg==", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "0ecc8e20ae71bf40cb8542d3ef40b0acf042f53c40cfa500ae45af5f1cf430d9"}
{"episode": 83, "episode_seed": 864623751, "split": "val", "timestamp": "2025-09-16T00:39:31.953026", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x145549a674c0>", "max_steps": 10, "abs_size": 336, "master_seed": 10000042, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 864623751, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [1.787217231813707, -1.0767809762921223, 18.547697613839745])</answer>", "action": "('move', [1.787217231813707, -1.0767809762921223, 18.547697613839745])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKMUlEQVR4nO3dTahc5R3H8d/cmXsT3ypRIQS1YLFQ0YXbRHFjV2qlRF3UhY1tqE0WakRExfiCWYi4UNykty203VQUREVRW0qF1rhvKBKIFF8jujAkwZt478x0caYRxbZ3Ssmcc/+fzzJZ3LOY7zzPOc8zz+mNx+MANczN+gKAU0fwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChkjQc/Hmc8nvVFQGus8eB7vfR6GQ5nfR3QDms2+GZsX17OsWPp9zMazfqCoAXWbPBJer28/nquvjp//GPm5sztIb3xWuxgPE6vl4MHc9VVOXQo3/pWHn44d96ZXm/WVwYztQZH+Kb2paX8+Mc5dCjr1+fIkRw44E4e1lzw43FWVjIa5a67sm9fBoMcP54tW/Loo+7kYc1N6YfD9Pv51a+yY0d6vaysZNOm/OEPufTSjEaZW2vfbzCdNRV8U/tbb+Xaa3PkSJIsLOR3v8uNN07+C4pbO0PeaJR+P++/n5/9LJ99Nll+37UrN96Y5WW1Q7KWRvjRKMNhbrklzzyThYV88UWuuy4vveTJPHxpjYzww2Hm5vL443nmmQwG+eKLXHxxfvnL9HqW3+FLa2GEb+7PX3opW7dO/mXDhrzwQq64YrJEBzQ6P8I3te/fn507MxxmPM5olIceyhVXZDhUO3xFt4NvVtoOH86uXfnww8zPZzTKT36S227LyopFOPi6DjfR3Iv0ennwwfzpT1m3LsvLufLKPPlk5uczN2d4h6/r8D18M5n/xS/y859nbi6j0WSPzWWX2WMD36yrwTdP4/btm+yxaX4M9+yz2brVgzr4tzo5DjZJf/JJtm/P4cOZm8vKSu6/P1u3ZjRSO/xb3RvhTw7gN9yQ55+f7LG54Yb8/vfp9ydH3ADfqHsjfPMr1wcf/LL2yy/PE09kfj6J2uE/6dgIv7yc+fk891y2bcvx4xmPc+aZef75fP/7WVnJYDDr64N269IIPxplfj5vv5377svSUgaDjMd57LFTXrujcOmszozwzWUeO5Zrrslf/5rBICsrue227N1rEQ5Wq0vB93rZsSN792Z+PsvL2bIlr72WM844tbWPRjl+PElOO80DAzqnGyNjs9i2uJi9ezMYZHk5GzdmcTFnnXUKo2ueFu7fnyuvzCWX5G9/S2JuT7d04DFXs6Nu377cffck74WF7N2bSy+dxTk2S0s5eDBHj+bEiVP7h+H/oO0jfJP0xx9n+/YcPZqFhYzHeeCB/PCHs7t1X78+vd5kGRA6pdXBN4fMHjuWnTvz9tvp93PiRH7wg+zaNZlfz+Amejye/ArXc0I6qL2f2ubuuN/PU0/lxRezsJDhMN/9bp5+OmeemV5vRsWNRpPvIcHTQe391DaD6MsvZ8+ezM1leTmnn57f/jYXXDDTdbjm6LzEsZh0UUuDb2o/cCA//elkFSzJk09m8+YWrLoPBpmft62PLmrjp7aZzB85kltvzSefTFbdd+zI9u0t+OnriRP57LMvrxI6pXXBNw/FBoPcc0/eeiv9/mSPzZ49k9pnFnzzh88/P9u25fPPc/bZM7oO+N+1bqddsw63uJidOye1f/vbefXVXHJJCybz0HHtCr75Dcyf/5zrr8/nnyfJ+vX5zW9y001t+jHcycP0oGtaNGKORhkM8u67ueOOHDs2ednrrl0tq72hdrqpdSP8zTfnuecmJ1tcf31efHHW13RSc0dx4EAWFzMY5N57s2FDC54iwhTaEnwTzp492b07/X6Gw3zve3njjWzc2JqmmmnGK6/kuuuS5J138p3vtObiYFVaMVFuqvn737N79+Sx3Hnn5de/blPtJ/X76fczGNh4Qxe14h6+eeXjpk156qnJa54feSRbtmRlpWW1JxkOJzvtoINaMcIn6fVyzjm5/fZccEH278+OHZP3vbfOyS3+rfsqgv+uLcHnXxP7rVsnL4FtaVBN8PYD0E0t+uC2tPCvaYIfDDpyufAVLQq+G5rFOa+qpJsEP6VmP1Bz6A10TVvW4TugecawtJRDh7KwkE2bWvlQEf4TwUMhpvRQSIuW5dqumdJ/9FH+8pds3JjNm7Nu3ayvCaZjhF+1ZoPdm2/mRz/K7bfn8OHEuTd0jOCndOJExuMsLUmdLhL8lJq3Xs3PW5ajiwQ/peZd0WqnmwS/ak3kJw+lt52eDvKpnZLXztBlPrhTakZ4e+npJsFPyQhPl9l4s2pN5Js3Z/fuXHxxzjhj1hcEU7OXHgoxwk+peXtsr9eyg/JhVYzwUIiHT6vWPK5bXMyFF2bbthw9mthLT8cIftWadbhPP80HH+Qf/3BYNV0k+Ck1K/COuKKbBD+l4TDj8eQcS+gan9opNTN5wzvdJPhVayJvhnfn0tNNluWmdOhQ3nsv556biy5yai2dI3goxJR+es0ZGNBB9odOz907nWWEh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQyD8BPlR+pZ5T6s0AAAAASUVORK5CYII=", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [1.787217231813707, -1.0767809762921223, 18.547697613839745])</answer>", "action": "('move', [1.787217231813707, -1.0767809762921223, 18.547697613839745])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [1.787217231813707, -1.0767809762921223, 18.547697613839745])</answer>", "action": "('move', [1.787217231813707, -1.0767809762921223, 18.547697613839745])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKBUlEQVR4nO3d36tldcHH8c8++5xxpJ+DIwaSqAg1ZjEFUQONkTNFkRTIIBgJ3nURdBVEF/0LXXbRTRAiBBJlIYJCVmYX00A/6IdxwjDLwpik0Wamzt6ri7Ufn3guHs8Z5zit/Xm97twyizWy3n7X+q7vWms2DEOADhtXegeA147goYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgV4Yhw3CldwL2meBXZrPMZtnZyWJxpXcF9s3mld6B/wrDkLNns7GRQ4eu9K7AfpoN9Seyi0Xm83z2s9nezokTOXEiR49mPr/SuwX7oD348W9/9mze+948/XSS3HNP7r8/+Z+TfFgn7dfwi0VmszzySJ57Lpub2drK0aPZ2Fj9DmumPfhxhH/44Vy4kJ2dXHddPv7xJNlo/w/Deqo+rpfLbG1lezs/+cnql3e9K+94RxYLwbOeqo/r8Q7c449neztJNjdz552rf+V8nrXUG/wwZD7PxYv5wQ+yXGY2y5vfnFOnMgyGd9ZW76G9XGZjI9vbeeyxJBmGHD+ea69NDO+sr97gx6pPn17Nzye5916ra1lzpSvtxvP28+fzzW8myXKZw4dz8qSxnTXXO8In+cMf8thj2djIMOTuu/P61+/uj3nOhskqDX4cyR99NOfPZz7PMOSuuzKb7S5kS/CYrNJT+tHXv54kOzt529ty221JMgyv1PJymQsXkuTqq2XP5DSO8OMp+S9/mTNnVsP7qVO59tpXuiE33rX/xS/ygQ/kyJH8/OerbcF0NI7wY9gPPLBaUbe5mQ9+MBsb2dlZTdf/f86fz/Z2zp3LxYuvxb7CZdU4wif55z/z0ENJMgw5dizvfney+/XzBw9mNsvW1v7tHuyTuuDHUf3JJ/P73yfJMOT223P4cHZ2dhf8MGSxsByPiao7apfLJHnwwbz4YpIcOpQPfWgvV+LL5WoTgmeCuo7a5TKbmzl7Nj/+8eqXW2/N8eOrdfW73cQ4e+edOExQXfCzWR5/PE89lSQbG7njjhw4sMfXXYwvynjl+T34r1N31C6X+d738tJLSfLGN+buu/cyvCe5eDF/+1vihhyTVBT8YpHNzTzzTL7//dUvt96a225bPTb3ysZzgOuvz3335R//yJvetH+7CvukKPjRmTP51a8yn2exWA3vuzX+X+HIkXzta//7o8V2TErLNfx4H+1f/8qjj65uqx04kFOnMpvtfbrdwzNMVkvwSWaz/PnPeeih1UMyJ0/m+utfxbZggoqCT3L6dP74x2xtZRhy7717/MPj7fennsrnP58vfMHUHVPUcg0/juoPPJAkOzs5dCjHjye7eTzuZS+/E+vLX06Sz3zGh6mYnIrgx6r/8pc88kg2NrJc5q67LvX1dfN55vNsblp4wxQVndJ/5zt56aXVFN3HPpYDB1Yn6XuzWPi+LNNVEfx4oX3//ZnNsljk7W/Pe97z6rY1n5u3Y4rW/5R+vCH329/mZz9b1XriRG66abXM9lI2F0/OMFXrf+COJ+Df+EbOnctsloMHc/vtq98vPfjNTSM8U7TmI/w4XTeutxmv2I8cyR137HH9/H8a5+o3NgTPFK35CL9YZD7P6dP5zW9Wv7zvfTl8+FV8LnI+z3K5eukNTM36j/BJHn44f/1rkrzhDfnEJ/Zy7/0/jacEJ0/md7/LgQN5y1sSS+6YmHUOfhiytZUXXsgTT6zKv+GGfOQjyaVNuo1tX311br75cu4lvIbW+ZR+nK47fTpnzqwuuj/60dUpuYGZTus8wo/fkHriibz44mqi7dOfXv1+KcYrgT/9KT/8Ya67LseO5aqrLuv+wr5b2xF+nE1//vl897urf3znO3P0aHLJ193jCcOPfpR77snnPpcXXkg8PMPErG3wo1//Oj/96eoV8p/61OXY4sWLGYacPy91pmhtgx/P57/97SyXq7vun/xk8uqH5HECYGvLNABTtLbBJ/n73/Pgg6v18ydP5oYbLsdGx9fdqJ1pWs/gx2H8ySfz7LO56qrV5yIPHnx1qY5/8uWX0ltOzwSt81H7rW9lGHLhQq65Ju9/f5JLeh72//DZGaZsPW/LjYPxF7+YD384X/lKbr45t9ySXJZOxxHeWnqmaT2DH914Y268MXfemSQHDyaXZSGsEZ4pW+fgxyv5MfXLYIz82LF86Uu55Za87nWXabvw2pkN7idDjXUe4ffF+PXY2czHJJkiIzwUMfm0a+N03Ve/mre+Nffdl3PnEmvpmRjB79o4xf/883n22Tz9tJdVM0WC36PxDrxXXDFNgt+j8dOz4+P1MDWO2j0az+QN70yT4HdtjHwc3r2XnmlyW26PnnsuzzyTa67JTTf5niSTI3go4pR+78Z3YMAEWR+6d67emSwjPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBT5N4Y2HosDJUL8AAAAAElFTkSuQmCC", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "9d8d50263d5138823f20251d3db3dcff6b31a10a6041b0363c65ca88bc631753"}
{"episode": 84, "episode_seed": 3574253815, "split": "val", "timestamp": "2025-09-16T00:39:32.569087", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x145549a674c0>", "max_steps": 10, "abs_size": 336, "master_seed": 10000042, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3574253815, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-1.3442300565789889, -1.8645055940383244, 57.233874235170504])</answer>", "action": "('move', [-1.3442300565789889, -1.8645055940383244, 57.233874235170504])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAALDElEQVR4nO3dXYhU5QPH8d/MnJn1wgwvxEDKMtpIC0LKAqO0UMtiLSpN121p28rUxKst8drFEOyi7EWUMhN3W1GTVEgwlSWMNiF6wSRRC5GUMqxWd95OF+ewvvz7i6OTM7O/7+dq2Rc47M53n3Oeec5zEmEYCoCHZKUPAMDVQ/CAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEbycMK30EqByC9xKGSiTij4vFih4KKoHgXYShCgUlEvrmGz3wgHp6lEwy2tsheAthqHxeqZS6u/X449qzR01N+vZbJRI074XgB75obE+ntW2bpk/X4cPKZLR/v5YulTixN0PwFoJA69fr2Wd17JiCQNms7rtPixcrDJXkJeCEv/ZAFp2uJxJ65x21tuq33xQEyuc1dao2btTo0fFX4YPgB6z+c/X2ds2bp95epdPK5zVrltav17Bh8RwerBD8wBTVns+rrS0+dc9klMtp7ly9/76GDFGxqFSq0keJqy4RMks74ER/0r4+LVyo995TMqlUSrmcFi3SkiVKJFQsculuiuAHmmhpTW+vWlu1fr1SKYWhikUtXapXXz17VQ9PQaUPAOUUDd1//KHZs7V1q9Jp5XKS9PbbevllFYtKJKjdGsEPHPm8gkDHjmnmTO3erUxG2azq6rR6tRobqR0Sk3YDRi6nINCBA5o2Tbt3q65O2ayGDlVnpxob4wl5agfBDwT5vNJpff21nnxSX32lTEZ9fRoxQl1dmjZNhYJSKWqHxKTdABDN0u3apZYWHToUX7fX12vtWo0bF9cORBjha1t0Zb55s2bMOFv7XXdp82Zqx78g+FoV3RKTTGrNGjU16fjxeGnNxInasEG33RbfHgeci+BrUvTWeiqlN9/UCy/or7/iWbqGBnV2auTIeMYeuADB157+2pcs0YIFyuXiWbrZs7VunYYNU7FI7fh3TNrVmP6lcm1tWrZMyaSSSeXzmjdPy5crk2HZLC6G4GtJNCFfKGj+fL37roJAhYLCUK+9Fi+SF8tmcVGc+dWMaMq9t1cvvqh16+KFdJLa27VoUXx7HLXj4gi+NkSTcCdOqLVVW7bEtafTeuMNzZvHsllcKoKvAVHtR47ouef0+edKp5XN6pprtGKFmpq4aEcJuIavdlHPP/yg5mb19MR7VA0frpUr1dBA7SgNL5aqFi2t2btXTzyhnp54j6qbblJHhxoalM9TO0rD66V6RUvlduzQ00/rwAHV1SmX05gx6urShAnx7XFASXjJVKNo2WwQaNMmPf+8Tp7UoEE6c0Z3362PPlJ9fXx7HFAqRviqEy2kCwKtXauZM3XypOrqdOaMJkzQpk2qr4//FwCXgeCrS/+y2RUr1Nysvj6l0+rrU0ODNm7UiBEKQ26JweUj+CoSLaRLpdTervnz449zOTU2at06DR163rNfgctA8NWif9nsokVavDi+RC8UNGeOVq3S4MHx6hrgShB8VehfDNHerqVLVVenfF7Fotra9NZbGjSI99tRHryIqkL02OYw1KRJGjVKfX0KArW36/XX443lqR1lwUq7KhLdHtPdrblz1dqqBQsqfUAYcAi+ukSn7j//rBtuYEc6lB/BV52ocy7a8V8g+GpE7fiPEDxghHEEMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRgi+dCxVQs0i+NJF+1REz3YCagrBlyib1enTSqWUTCqXU6FQ6QMCSkDwlyxqe98+tbRozRodOqR0Or6vDagR3DxzaaLfUjarOXP0wQeSdOedmjRJTz2lceMqemRACQi+FPm8du7UihXaujUe8IcP1yuvaPHi8x7gGv1K2XES1YdT+lIEgSZPVkeH9u3TwoUaNky//qrBgyXFwf/5Z7z7LBN7qEqM8CU6d2v448e1c6cmTNB110nSkSN68EFNmqTmZo0erWuvlaR8Pt5fHqgCBF+6/z1jj/4LrF6t1tb4M1OmaMYM3X+/br65AkcI/B8EfwWinaWjE/gw1HffafNmbdumvXvjb7jjDj38sB55ROPHK5OJf0Rc3qNiCL7cjh7Vl1+qq0tdXfHE3pgx+vRT3XjjeVvVUT4qgeDLp1iMH/sq6fRpHTyojg4tX67p07VypdJpJRI6fFi9vRo9+uyPSGxYiauG4MutWDzvCa9HjyoINHy4JP39txobtX27Zs9WS4tuvz2e2CsUlEiQPa4Cgv9vXHDGHp3M//KLJk/W/v3xJx96SLNmafx43XprZQ4Sfgj+KioW9f332rJFn32mPXviT9bX67HHNGuWxo49+4i5/jU8QFkRfCWcOKHubm3apA0bdPq0JH34oZqaLnz+OxN7KDeCv7qi5XfRw9/7+vTTT+rsVHe31qzR9ddL0qFD+uQTPfqobrkl/hHGfJQPwVfCufP5krJZZTLxM+WWLVNbm4YM0dSpeukljR2rIUMkXTj4A5eFmeFKSCYVBArD+G25TOa8if1Ro3TqlDo6NHGipkzRqlX68UdqR1kwwleN/jH84EF1dmrHDu3aFX9p5Eg984za23nrDleI4KtM/0Phf/9du3Zp+3Z9/LFOndI99+iLLwgeV4jgq0+xqHw+Xnufy+nAAW3YoClTdO+9lT4y1DyCr1YXTOwB5UDw1S16T44zeZQJwQNGGDoAIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABI/8AdxMVXtG+TUsAAAAASUVORK5CYII=", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-1.3442300565789889, -1.8645055940383244, 57.233874235170504])</answer>", "action": "('move', [-1.3442300565789889, -1.8645055940383244, 57.233874235170504])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-1.3442300565789889, -1.8645055940383244, 57.233874235170504])</answer>", "action": "('move', [-1.3442300565789889, -1.8645055940383244, 57.233874235170504])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "c9ba5ab011d676968785c79814be053aa021db9ebb7f8878749e407fc9ebfe62"}
{"episode": 85, "episode_seed": 1115869500, "split": "val", "timestamp": "2025-09-16T00:39:33.539037", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x145549a674c0>", "max_steps": 10, "abs_size": 336, "master_seed": 10000042, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1115869500, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [74.83912733276203, 3.79110756831474, 23.121999927369973])</answer>", "action": "('move', [74.83912733276203, 3.79110756831474, 23.121999927369973])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [74.83912733276203, 3.79110756831474, 23.121999927369973])</answer>", "action": "('move', [74.83912733276203, 3.79110756831474, 23.121999927369973])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [74.83912733276203, 3.79110756831474, 23.121999927369973])</answer>", "action": "('move', [74.83912733276203, 3.79110756831474, 23.121999927369973])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "d002607e6949cb63e82d5c92376ccc8103f83c049f260b17f49bfe347b0978b9"}
{"episode": 86, "episode_seed": 1280823986, "split": "val", "timestamp": "2025-09-16T00:39:34.148313", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x145549a674c0>", "max_steps": 10, "abs_size": 336, "master_seed": 10000042, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1280823986, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [2.1084590705637805, -0.18314309707058618, 35.33733344095456])</answer>", "action": "('move', [2.1084590705637805, -0.18314309707058618, 35.33733344095456])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [2.1084590705637805, -0.18314309707058618, 35.33733344095456])</answer>", "action": "('move', [2.1084590705637805, -0.18314309707058618, 35.33733344095456])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [2.1084590705637805, -0.18314309707058618, 35.33733344095456])</answer>", "action": "('move', [2.1084590705637805, -0.18314309707058618, 35.33733344095456])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAIJElEQVR4nO3dP4hc5QLG4Xd29p9NAoJXQhASG1GrRKsgCBZpLaJgHSPBiFWKNEJALMQg/gFRKxtLjXYKCqKlIEQEESwiIopgIxZms7M7t5i5a8iF29zN7py8z1PtnmJmYPnN953vO+fsaDqdBuiwtN8fANg7gocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigociy/v9Afh/TSbZ3k6S0SgrK7v3utNpRqPdezkWwmg6ne73ZwD2iBF+wDY3s7KSV1/Nl18myb335pVXsrq6G2Pz9ev5/ffcc09m44Gh/nZhhB+wjY2sreWJJ/Lhh0ly9GiuXMmBA7sR/PZ2rl/P+vo/R8zwbwsW7QZsFuC//pXl5Swv58CBbG4myS58hy8tZX0929uZTPLJJ3n//YxG86UChsyUfvCWlzOZJMnGRq5f373XnUyyvJyPP86pUxmPc+RIHnkkW1sZj3fvPdhrRvjBW1ub/zCbhu+apaVsb+fIkRw9mq2tPPNMfv55fpDBEvyAzab0q6vzX7e2djv4JMeP5513cscd+eGHXLiwe+cM7A/BD97OCD+ZzIPftR6XlrK1lZMn88ILSfLBB3n99SwtZTrV/EAJfvBu1Qg/Mx5nOs2FCzl1KpNJLl7MZ5+Z2A+X4AdvfX0++97aysbGrXmP8ThvvJH77su1azl9Olevzr8IGBrBD97q6vxk/paM8Ml8Q+7w4bz7bg4cyN13Z3NT7QNlW27AZp2vrc3PtXeC3/0YR6NMp3n00Xz0Ue6/P4cOCX6gBD94a2sZj7O5ectG+Pznq2U6zWOPzX/YuerOFXiDYko/eLMRPsnW1nzX7FYZjeYTiSTff59nn823384PMhBG+MFbXZ0HP5ncskW7HbPL7K5dy1NP5bvv8tNPuXw5a2vZ3p5/CBabP9KA7Vx4M8vwFk7pb7K+nrNnk+TTT3Px4vwMnyEQ/ODduC13qxbtbjS76ubcuZw+nSRvvpnLl+3SDYXgB2+vR/idJbpLl3LiRDY28vzz+fFH4/wgCH7wdhbtkr2a0s925u+8M5cu5dCh/PZbzpzJtWuW6xef4Afsxn34mT0KPpnvBJ44kRdfzNJSvvoqFy4kmd+py6KySj94s334mb04h9+xspLpNGfO5Jtv8vnneeihJNbqF5zgB29nWy57OcLPzOb2L7+cX37Jgw/OL8JxKc4CE/zg7c+UfsfSUg4ezMGD8yfksNhMwAbspn347EvwSabTee1//51z5/Lcc/ODLB5fyYO3tvbPDHp/gt95+/fey9tvJ8nx43n6aQ/AW0BG+MG7cUq/b2vk43G2t/Pkkzl5MknOn8/XX88PskgEP2zTaVZW/jl3nt08sw9LZrO3vOuuvPZaDh/On3/m7Nn8+msSzS8UwQ/YzqPid0b4WfCzp87ttdlN+Q88kLfeyupqrlzJxYvzh2E5n18Ygh+2WUo3Ten3bVNsPM7WVh5/POfP59ixnDs3P2iXbmEI/nawvp6VlayszO9M38++ZnfRvPRSvvgix47t96fhZlbpbwd//TWfzP/xR7a39zux0SijUQ4edAXOAhL8sM0m82fP5urVJHn44Uyn+3QO/9/Uvnj891goYoS/HUwm87Xw8djlrfwvRngoYpUeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeivwbr+WFSoPICCUAAAAASUVORK5CYII=", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "4a076f2841f46f9cfc2d22c503d7e3066f01ee53fec233d1498d5ecbe24cc98d"}
{"episode": 87, "episode_seed": 548099471, "split": "val", "timestamp": "2025-09-16T00:39:34.762587", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x145549a674c0>", "max_steps": 10, "abs_size": 336, "master_seed": 10000042, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 548099471, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [39.486667686797, 156.77228121221341, -29.415890130504692])</answer>", "action": "('move', [39.486667686797, 156.77228121221341, -29.415890130504692])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKWElEQVR4nO3dXahlZR3H8d9+G+fMKNYogoEI06CUNFMRlkVkBBKhdi0ajjJhCoriRV0Y5htaYAOBldRFWkRo6oVgwbk0NevGpBdISGTMcmIUx2l0zj57ry7OntNJenfN2WvO//O5POyL52J/9/OsZz1rnV7TNAFq6M97AMD6ETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KEXxXNU2aZt6DYKMZznsA/Au93rxHwAYk+E5aWspTT+XQoezcmTPOSNPon1ZY0nfMyjL+1Vdz/vm58MIsLibJ8vJ8B8WGIfiOWZnJTzwxp56awSCTybwHxIYi+E5aWMh0mskkb74576GwoQi+e5om/X6GwySCp12C76otW5Lk8OEk7s/RFsF31YknJmZ4Wib4rjrppAyHWVqa9zjYUATfVdNplpezf39iSU9reo0vUzc9/nheeSU7duScczKdpu+nmRYIHgoxb0AhztJ31cGD+ctfsmVLTj993kNh4zDDd8/KRdZ99+Wzn80tt8xO17ryog1m+K764x/zm99k27YcOTI7hANvmxm+q045JYNB+v3ZrXgzPG0QfFctLMwenjlyZN5DYeMQfFctLCTJ0pLDdrRI8F21GvzKDG9JTxsE31Vbt6bXy3hshqdFgu+qzZvTNDl4MG+8Me+hsHG4LddV73pXPvGJ7NiRk09OvMSWdjhLD4WY4buqaTIeJ8lw6FE52mKGh0JMHV11+HCuvjq7d+eXv0zifdW0wgzfPSv/Z+aVV3LKKUnywx/mkksyHmc0mvfIOO6Z4buq38873pFkdiUPbRB8V/X72bo1iYM3tEjwXdXrCZ7WCb57Vs7Y9Hqzx+A9LUd7BN9VKzP86vPwTtrRBsF3Vb+f0SjTaV5/PRE87RB8V/X7OfPMnH563vnORPC0w334rmqaPP98DhzImWfmtNPmPRo2CMFDIZb0UIin5TrsxRezb19OPjlnn53BYN6jYSMww3fYN76Rj340112Xw4cTr7WjBYLvsG3bMhplYSHLy/MeChuE4DvshBMyHuevf50Fb4bnbRN8h23dmsEgy8tmeNoi+E5amcyHw0wm+dOfHKenLXbpO2z79nzykznrrGzenDhsRwscvOmw6TTTaYZ+lGmN4DtvOvXWWtrim9RtK++3g5ZYLnab2mmVGR4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UI/q2m00yn8x4EHBu9pmnmPYaOapr0evMeBLTKDP93Kz99jz2Wn/wkyax2sz0bieBnptP0ennppXzxi7n44lx+eX7/+yTp9zOZyJ4NQvAzvV7G4+zdm1//Ov1+7r8/u3bly1/Oc89lMEi/n/E4rn443gk+OXq5PpnkyJH0ellayqZNOXIkt9+eCy7I3Xfn5ZczGqVpTPUc32zazaw0P53m0Ufz7W/npz9Nkk2bsrSUJOeemz178vnPzz6Z2M/juCT4v1vdln/ttTz2WG67Lb/7XZIMh1leTr+fD384N92Uz3xm9vnpNH0rJI4rgv8HTZPJJMNhkrz+eu69N3ffnT//OUkGg0wmOeGEfOpTueOO7No1WxEksue4Ifh/Yu2iff/+3H57HnooL72UJP3+bD//mmty7bU5++wkGY8zHFrkcxwQ/L+zush/5pns3ZuHH86hQxkOZ6fxtm3L9dfn0kuzfXuSLC/PlgbQWYL/D9Yu8hcX853v5MEHkzX7ee97Xy6/PNdck4UF+3l0neD/K5NJkgwGeeONLC7mzjvz858nyWiU8ThJPvjBXH99Pve52eeVTzcJ/r+1dqo/eDA//nFuvTUvvJAc3cYfjfKRj+SOO/Kxj8228SaTDAbzHDO8heD/N02Tppn1fOhQvvrVfO97efHF5Gj2SS65JF/6UnbuTDK7n2cbn44Q/P9j7YN0zz+fr30tjzySl19Ovz87sbd5c669Nrt3573vTZLxOKPRHMcLM4J/W1YX7U88kXvvzfe/nySjUZaX0zTZvj27d+eqq3LaabObea7qmS/Bv10rt+iGwzRNFhezd+9bj+Xu2pUrr8x1180+bz+PORJ8O1Zvwh86lMXF3HRTfvvb5OiFfa+XD3wgN9+ciy6apW4/j7kQfGtWnqVbyXhpKd/8Zr7+9ezblxw9lpvk05/OV76SD31o9pdez34e60rwLVu7Yj9wIHfdlQcf/Ie7d0m+8IVcdVXe//7EsVzWl+CPldVn6Z59Nt/6Vu6/P4cPzy71J5Ocemr27MmePXn3uxMrfNaL4I+hppkdyEnys5/lnnvyox8la87nvec9ufTS3HBDtmyZ5zipQ/DH3Oq1+ptv5vHHc/PNeeqpZM0K/5xzcuONueKK+Q6TEgS/Ht6yn/fAA7n11jz3XLJmG/+883LXXfn4x71Xg2PIN2s99HoZDGbHcjdtymWX5Ve/ym23ZceO2STf7+fJJ/Pkk0m8KpNjyAw/B6snc//wh9xzT37wg+zfn1278otfZDSyY88xJPj5WLuf9/TT+e53c/HFueiieQ+LjU7w87R6LHcymV23m945pgQ/f27Cs24E3wn+cSXrwy59J6id9SF4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIX8D5W6dURu34C8AAAAASUVORK5CYII=", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [39.486667686797, 156.77228121221341, -29.415890130504692])</answer>", "action": "('move', [39.486667686797, 156.77228121221341, -29.415890130504692])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [39.486667686797, 156.77228121221341, -29.415890130504692])</answer>", "action": "('move', [39.486667686797, 156.77228121221341, -29.415890130504692])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAGZUlEQVR4nO3dwW4TSRSG0dsmhNiJ4Al4BbZ5I7aseGck2CCixG076Vl048CI1bgYl/Kfs2pYleR8qrptuz1M01RAhtW5FwD8fwQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQS7OvQD+YJqer4fhfOvgxRF8j0TOXyL4vkxTDUP9+FF3d3V3V2/e1Pv3+qcZM3xfDoeqqo8f68OHur2tT59qHKt+P+TDf2aH79Hdj6dv31ZV9fVr7XZ1dbXs/HAiO3xf5qjfXR+GYRqGmqba7c68JF4SO3xnhqqq9WY1n+HHcTnSQxN2+B5tboY5/d3ODk9Lgu/R5mZ5XfZ7N+1oSfB9me/MbTbLDbpxtMPTkuB7tF7XalVVtd8LnpYE36PNZgl+t3PTjpYE36PNZjnb73Y1jlOZ4WlE8H35OcM/B+9IT0OC79F6/WvwPmFHM4Lv0XGGPxxqa4anHcH36Bh8Ve22ZniaEXxffpvhh6p62o1PZ14TL4jgezTP8ENV1TCa4WlH8D2ad/hhqKph3HmNaMYfU4/mGf74hTloRfB9mWf46+vnx11st8//DycSfI8uL/+9wx//CacQfHfmp1m9vlhuzj88VNnhaUTwndq8WYJ3pKchwXfq+nq52G7r8fGsS+EFEXynNm+Xxw2O4/Lsajid4Du12SwXDw+CpxnBd2q9Xi6229rvz7oUXhDBd+rmZrk4Hum9LcfpBN8pR3r+BsF36hj8dit4mhF8p34N3gxPK4Lv1PF9+HGc7PC0IvhOPc/w93U4uF9HG4Lv1DH48eHpsBM8bQi+U0vwQz3cT/MM7205Tif4Ts3BvxpqPAxmeFoRfKfmm3bDqqZa7R+9TLThL6lT80dr58fa+bYcrQi+U8sO//P3Z6AJwXfqeJe+fj4DA04n+E79GrynXNGK4Dt1/KRdVd3fVwmeFgTfqcvLqprm997nHR5OJ/hOrVbT5avHOXg7PK0IvlPDUJu1HZ7GBN+p1arevqvVq3r92q9N0czFuRfAnw2rYTxc7HdVVV++LL9OAScSfHfmsK8u6/Pn4fv3urqq29tzr4mXYph8CQtimOF7N02+GEszjvS9M7rTkB0egggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegvwDDSnm/jWUzRQAAAAASUVORK5CYII=", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAGZUlEQVR4nO3dwW4TSRSG0dsmhNiJ4Al4BbZ5I7aseGck2CCixG076Vl048CI1bgYl/Kfs2pYleR8qrptuz1M01RAhtW5FwD8fwQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQS7OvQD+YJqer4fhfOvgxRF8j0TOXyL4vkxTDUP9+FF3d3V3V2/e1Pv3+qcZM3xfDoeqqo8f68OHur2tT59qHKt+P+TDf2aH79Hdj6dv31ZV9fVr7XZ1dbXs/HAiO3xf5qjfXR+GYRqGmqba7c68JF4SO3xnhqqq9WY1n+HHcTnSQxN2+B5tboY5/d3ODk9Lgu/R5mZ5XfZ7N+1oSfB9me/MbTbLDbpxtMPTkuB7tF7XalVVtd8LnpYE36PNZgl+t3PTjpYE36PNZjnb73Y1jlOZ4WlE8H35OcM/B+9IT0OC79F6/WvwPmFHM4Lv0XGGPxxqa4anHcH36Bh8Ve22ZniaEXxffpvhh6p62o1PZ14TL4jgezTP8ENV1TCa4WlH8D2ad/hhqKph3HmNaMYfU4/mGf74hTloRfB9mWf46+vnx11st8//DycSfI8uL/+9wx//CacQfHfmp1m9vlhuzj88VNnhaUTwndq8WYJ3pKchwXfq+nq52G7r8fGsS+EFEXynNm+Xxw2O4/Lsajid4Du12SwXDw+CpxnBd2q9Xi6229rvz7oUXhDBd+rmZrk4Hum9LcfpBN8pR3r+BsF36hj8dit4mhF8p34N3gxPK4Lv1PF9+HGc7PC0IvhOPc/w93U4uF9HG4Lv1DH48eHpsBM8bQi+U0vwQz3cT/MM7205Tif4Ts3BvxpqPAxmeFoRfKfmm3bDqqZa7R+9TLThL6lT80dr58fa+bYcrQi+U8sO//P3Z6AJwXfqeJe+fj4DA04n+E79GrynXNGK4Dt1/KRdVd3fVwmeFgTfqcvLqprm997nHR5OJ/hOrVbT5avHOXg7PK0IvlPDUJu1HZ7GBN+p1arevqvVq3r92q9N0czFuRfAnw2rYTxc7HdVVV++LL9OAScSfHfmsK8u6/Pn4fv3urqq29tzr4mXYph8CQtimOF7N02+GEszjvS9M7rTkB0egggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegvwDDSnm/jWUzRQAAAAASUVORK5CYII=", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "da93e817b64a071e9c16a8559663b028d2c6092265ba8f9b43fdba6444bef8d1"}
{"episode": 88, "episode_seed": 2521199143, "split": "val", "timestamp": "2025-09-16T00:39:35.375320", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x145549a674c0>", "max_steps": 10, "abs_size": 336, "master_seed": 10000042, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2521199143, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-0.3403052048571049, 0.4436769405173355, 39.81443460340095])</answer>", "action": "('move', [-0.3403052048571049, 0.4436769405173355, 39.81443460340095])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-0.3403052048571049, 0.4436769405173355, 39.81443460340095])</answer>", "action": "('move', [-0.3403052048571049, 0.4436769405173355, 39.81443460340095])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-0.3403052048571049, 0.4436769405173355, 39.81443460340095])</answer>", "action": "('move', [-0.3403052048571049, 0.4436769405173355, 39.81443460340095])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAF9klEQVR4nO3dTY4jNQOAYVeqxRKxYcUBOAU3QOJOHISDcA0OwgapkfJTLDrK5JtPPRYsGDzv86zSUS8iuV/Z5XJXtuM4BtBw+twfAPj3CB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CXj73B2ABt9s4jjHG2LZxMkesbDveRhIIMMMz99tv4/ffx3GMb78d338/9v1zfyD+KTM8n3K7jdNp/PTT+PXXcRzjxx/HL7+Mr78exzG27XN/OP4+Mzxzr3/c/vzzNMZ4fdX52uzAMHc5X7dtbNv46iubdmszwzN3Odul/0IYPeYul/uLlxfBr83oMXe+3l/su+DXZvSYu57vLwS/OqPH3OV635oX/OqMHnPPwbsttzTBM/fYtHs7Y+es1roEz9zldv87cah2dYJn7nlJP8zwKxM8c4/CzfCrEzyf8rZF91HwZvh1CZ65R+GPe3L26hcleD5l28b1+uFHS/rVCZ53vU3sl8u43e7vWNKvTvBMXK+u4b8cgmficepmWNKvT/BMXC5uy305BM/E/wdvSb8uwTPxFPyxn7S+NsEz8bRpt1nSr07wTJzPH16fdgdu1iZ4Jp5vy3n6xeoMIO96HLx5BP+yj+Fc7coEz8TT0drbabt94jf57/NceiaejtYeuwlicQaQieeTdi+723JrEzwT/7tp5/J9bYJn4nwe43HSziXg4gTPxPU6Hjt1Dt6sTvBMXC6PGX47CX5xgmficQ2/b2N30m5xguddHx282U73Jb3o1yV4Jh635U776fSyjaH4hQmeiccMv++W9MsTPBOP4E8nu/TLEzwTj027bfPfcsszgEw8f3Xsi4M3ixM8E48Z/nQywy/PADLhGv5LIngmPtyWE/z6BM+7Pjp4s+/3Jb0n3qxL8Eycz+M4xraNbbNptzwDyMT5fH/K1fVqbl+e4HnX2wL+hx/Gzz+P19fxzTfju+8+vM+KtsP3BkGGGZ6J2+2+pN+2se9W9Wszw0OIqzEIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwEPIX3lbWAHZBirYAAAAASUVORK5CYII=", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "5c21e0329513ac831b835784a0ad24a26fa7ebc7f0b83d953323a586235d3227"}
{"episode": 89, "episode_seed": 1257335964, "split": "val", "timestamp": "2025-09-16T00:39:36.330236", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x145549a674c0>", "max_steps": 10, "abs_size": 336, "master_seed": 10000042, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1257335964, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-3.5044864032015, 4.415480255508979, -29.280954938967493])</answer>", "action": "('move', [-3.5044864032015, 4.415480255508979, -29.280954938967493])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKOUlEQVR4nO3dT4icdx3H8c/sblJsTZQmNRErBCuGrtVCAhUhoqbFP0jIpdQoUvQkIt568+DNg4JHqYiCRRBFtFaDSy1aaxDRHkxr0zSpIAGjVIi4Wxdxd2Y8PNNNW0UKJTttPq/XLZMZ+MHue37P832enRlNp9MAHRbmvQBg+wgeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiizNewFX3nSazc1Mp1layoI3OKqNptPpvNcAbJOrescb3sv+/Od87nM5fjw///m8FwRzdlUf0k+nGY3ymtfk1Kn8/vc5cCBHj857TTBPV3Xwo1HG41x/fY4ezdpadu+e94Jgzq72c/hhk790Ka99bXbunPdqYM6u9uC3TCYZj7O4aFBPs47gh30e6l3V5/CDofaVlfziFzl8OHfdlcnEPk+ngt/7zc0k+cpX8qUv5XvfS567XAd9CoIfHDyYJOfPq51mBcEPZ+/veEeSXLqUixezuCh7OhUEP5yuLy/nmmty6VLOnEmSyWS+i4K5KAh+a4ffvTvr6zl7NhE8pTqCn0zyutflxhuzsJBz5xJzO0oVBL/l1lszmeSJJ7K56TSeTh3BD0f1hw5l79688Y1ZXxc8nTrutBtcvJg//jE33ZR9+7K4OO/VwBw0BQ/1Og7pBybz1Cvb4f/615w+ncXFvP/9juop1LTDJ7n33nzoQ/nCF3LpUuLiHHXKgj90KEtL+ctf8swziYN86tQEP7T9lrdkPM6FC7PgoUxN8MOl+Ne//nLzWw9CjZrgB7t3Z3k5SZ58MtOpj8GgTdlv/K5dsz+MP3s2//xnYm5Hl5rgh4+sHo1y8GAWF3P2bJ59dt5rgu1WE3ye28zf9KaMx3nqqayvz3tBsN2abrwZPs3ymWdy+nT278/Bgz6pnjZNwb+Iz66lT3Hw0Kdsixve3VZX87vf5eRJI3raFHwRxfONx1layq9+lc98Jn/7Wy5cyA03+F4aepTt8EPY116b1dX861954ol5Lwi2VWXwN9+cAwcyGuWxxxL33lCkL/jxOPv3Z+/eTKc5fVrtVKkMPsmBA0ny2GMZjTRPj7Lg89wX0dxyS5JcvJjV1SwsaJ4SfcFvncZfc03+8Y88/vjsmyqgQF/www7/9rdn166sr/siGqqUXYdPZiftN96Ye+7Jnj25444kPtCSEm6thSJ9O/yW4bx9NHKbHT3s8FCkb2gHxQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQS/TabTea8ABL9tRqNMJrJnzgS/TdbWsrCQ0Wj2z+lU/MyB4K+4Iew778yRI/nOd7K2liSj0WzPH4+Vz/YZTf26XUmTSRYW8tvf5vbb8+yzSbJvX06cyCc+kbe9Lbt3J8l0ms3NLC5mwdsvV5jgr6yNjezYkc9+Nl/9apIsLWVzc/Zf73tfTpzIu9+dd75z9si//52lJdlzBQn+yhp2+JMnc//9eeih/OlPSbK0lNEoGxtJsn9/jh3L0aP5wAdy/fVJMh5nNJI9V4Tgt88f/pBf/zo//GFWVmaP7Ngxy340ym235ciRfOxjOXz48kuGH87WqA9eJsFvh83NjEZZXEyS1dU8/XS+//1861u5ePHFz3zDG7K8nI9/PCdOZNeu2YPDSH+Y88HLIfhtMp1mMkkyyz7J2lp+9rN87Wt59NFcuvSCJ49G2bMnd92Vu+/OzTfPZntJNjbM9nhZBL/dhu36+dGeP5/77svKSs6cyfp68sLZ3m235VOfypEjWV6evWpjIwsLl9844KUT/Dw9P/7NzfzoR1lZySOP5Ny5JLPNfDjJ37Mnx4/njjty9Gj27Zs9f5jtOc7npRP8/E2nGY+zuDhL9+zZnDqVH/84Dzwwe8LWbC/Ju96VI0dy/Hje857LL4/BHi+N4F8phuy3Zntrazl7Nj/9ab7xjVy4MHvOwsJsELB3b5aX89GP5sSJ2cW8wWRitsf/I/hXlmG2N51maWn2yOpqHnkkX/96Hn44q6svePLCQvbsyYc/nE9/Orfemuuumz2+uZmFBbM9/gfBv0L992zvwoV885s5eTLnzs3K39rwkxw6lE9+Mrffnre+NTt3JsnGxux4wYbPFsG/0m39fLa6/clP8sADOXUqTz6ZZDaxH07yr7sud96ZD34wR47kzW9Okskkk4nsmRH8q8ZwtL81lj9/Pg8/nAcfzP33z67h7dyZjY3ZG8Thw3nve/ORj+To0csv1zyCf5UZZnvTaXbsSJL19Zw5kwcfzH335amnksyu1Y3HSbJnT265JceO5e67c8MN81w2rxCCf7Uast+a7f3973n00dx7bx566MWzvdEoe/fm2LF88YvZt89WX03wr27Dcf7z77q7eDHf/na++908/fSs/OG+vZtuyunTufbaxEX7YoK/Svz37TcrK/nBD/Kb3+Txx5Pknnvy5S/P7vChluCvNsP1vOl0FvaFC1lZyS9/mc9/PsvLjufbCf6qNR5nMpnN9jY3L5/t00zwV7nhczJ37LC3kwi+hNoZuN+6gtoZCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6K/AdoBJnrjUaDCwAAAABJRU5ErkJggg==", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-3.5044864032015, 4.415480255508979, -29.280954938967493])</answer>", "action": "('move', [-3.5044864032015, 4.415480255508979, -29.280954938967493])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-3.5044864032015, 4.415480255508979, -29.280954938967493])</answer>", "action": "('move', [-3.5044864032015, 4.415480255508979, -29.280954938967493])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAHSElEQVR4nO3dwY4U1wGF4VPVA8i25NhAhkExCDDImHEyJC/oZ/HCS6/8Bsk+EpghjmSG2AIBBkzswMbT3ZVF9zhPEFrq832r7lrdxfx969bcqhqmaQrQYdz0AIC3R/BQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQZGfTA/i/WyyyWKw/nz690aHApg3TNG16DMBbss0z/DRlGPLFF/nqqwxDzpzJl1/m1KlNDws2Z5uDXyyys5PnP05ff51kSPL559nfX/8QQKHtv2i3f2t5+vRyZyenT+fOnSSxiKHWNge/msb3/jDb2xvn8/z6a+7eTQRPse0P/tJHuXx5fQZvhqfcNgc/jlkuc+5cLl1aH/n++ywWmc00T6ltDj7JfJ5hyNUrUzIl+eWXHB1lGARPqS0PfnVWf/36NJslyc8/5/79xFk9rbY8+HFMkus3xvPnhySvX0/3D5dJlsvNjgs2oyL4Tz7JuXPrI//8dooZnlZbHvwwZLHI7m7Onl0lPjx6Mjs+tt+OUlsefE7O3m9cna+u2z17mkeP1j8E0Gb7g19dt/vjn3fGcUjy+HEeHiXO6qnUEvz+/vDuu0ny6tXyX0eLCJ5K2x/86rrdwUHOnFkdGB7+MCbun6HR9ge/2mZz4cJvF+qHo6Ph+Nh+Oxptf/BJpinTlP399dcHD/Lihf12NKoIfhgyDLl9e/31wYM8e5ZYxtOnIviVg4Mkmc3y4sXy6VOt06gu+HFMMh4dDSefoUjFn/z6SRgXsnd+Pp8nyeFhFgvLeOpUBL8y28nBX2arwu//I2/ebHpA8NYVBX/qVA5uD0mGIYd3jl//x+ROnZbgVxP7wUEy5NSpPP9p9vInO2+o0xX8zZvTyap9vHdvowOCTWgJfuXch9P5s8vj4+TkgZY22FKlJfhV2O//bvzsT+vrdnfvessWdVqCX3n/g9y8mSTDkDt33BJPnZbghyHLZWZjPv00SWazPHs2PH686WHB29USfE4efXP16nq/zXLpvRTUKQp+tYy/eDFnz2axyDR58xR16oLf28u1a+sjd/8+j+Bp0hX8NOXixVy5sj5y+K1H39ClK/j5PLNZrlxZz+mv/j0+eZJxNMnToij433x8ZTEMyyRv3uTwMPEiGmp0Bb86e792Y+fDD8Ykb97k/qEX0VCkK/jVEy8+/ji/302SxWK6d3cRMzw1uoJfbb+5fDm7u+sDD3+YJZ5gS4u64Ofz7Ozko4vzYZjGMS9fDs+fC54WXcHnZBl/67MxyXKZ777LN98klvF02Nn0AN621TL+1v74zjt5773//U8eGgxt94hOU4YhPz7LX/+W3d3cuJHd3cxmmx4WvBV1wUOzulP6lWla3ww/jp5OTxEzPBQxu0ERwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUOR/wLeLTTRgpGPRAAAAABJRU5ErkJggg==", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "64de731eacb4bb00375db6abb7b69ad4c8aa7fc1b503dc1507b0df770c3561ef"}
{"episode": 90, "episode_seed": 1567821516, "split": "val", "timestamp": "2025-09-16T00:39:36.941781", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x145549a674c0>", "max_steps": 10, "abs_size": 336, "master_seed": 10000042, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1567821516, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [7.088198013369838, 19.523637710444138, 12.162686727555846])</answer>", "action": "('move', [7.088198013369838, 19.523637710444138, 12.162686727555846])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [7.088198013369838, 19.523637710444138, 12.162686727555846])</answer>", "action": "('move', [7.088198013369838, 19.523637710444138, 12.162686727555846])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [7.088198013369838, 19.523637710444138, 12.162686727555846])</answer>", "action": "('move', [7.088198013369838, 19.523637710444138, 12.162686727555846])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAK/ElEQVR4nO3dbWhW9R/H8c91s4ULIgpmN4vlgwpBsIwYiQRzBGVROEinpAmL2oycc5TpRlK5QRjiMBoOCcZmRWoWWBBGScwHPfCBhTexxrytxCRIKN2u65z/g3O8nPo3w5bXdj7v1yOdTw5s731/v3N+xysVhqEAeEgX+wIAXD8EDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheFxNGBb7CjBmCB5/KwyVShX7IjBmCB5XFobxeO/oUHe3cjmm/USXLfYFYLwKQwWBMhmtW6fWVkmqqNCcOcrnlckU++JwjZjw+H+iSZ7JqLNTq1dLUk2N7r6bFf5ElwpZpOESharfe08tLTp7VrNmaft2lZcT/ERH8LhMECid1v79eugh/fWXHn5YW7fqzjtZzCcAweNiQRBv3SV1d6uvT319qqyk9mQgeIxSqDr6Q2EBz0o+Kbhph/Oiwb5li7q64uxTqfjJHLUnBY/lIOn8vn3nTi1dqj/+UEmJnn8+vldP7QlC8Dhf+5dfauFCnTmjykrNmBH/E7UnC0t6e7mc0ml9840WLNCZM6qo0LZtmjGDlXwicdMOUn+/amt16pQmT9Ynn2jmzHjmI3H4phoLAoWhdu9WXZ1OnVJ5ubZt08yZyuepPan4vhqLFu2bN+vECd16qz76SLNmKZfjeXuCcdPOUpR69NRt/XoND2vxYlVXK5dTlh+JJGMP7yfan49uOzpmw77dAN9gM9H+/OBBNTTo8GFJFw7SUrsB1m9Ookk+MKAFC7RvnwYG9NVXFx2hRdLxS91GVPtPP2nhQu3bp0mT9OyzkuLNPDywh/cQ1X70qBYu1J49ymS0aZPq6yVejPHChDcQhspkdPKknntOe/Yom9XGjaqv56i8IYI3kErp2DEtWqTdu1VaqnfeUWNj/HWYIfiki8b4wIB27ZKktWvV1BSfsYMf9vCJNnp/3turI0fU1hY/mWO8WyL4hLrkVlzhUA37dm8s6ZMoCJRKaXhYS5Zo7VoND8dfjFC7MQ7eJE4YKp3WyIheflk9PZJUVaVHH4337dTujQmfLNGKfWREy5eru1uSXnxRVVUX3paBN/bwCVL4KLiWFm3YIElLlujdd1VWFo992GNJnxSFGf7aa3HtdXXq7KR2jMaET4So9jBUW5s6OiSptla9vSor46VXjMaET4Tot/bvv+v77yXpqafU08Nsx+WY8EkRTfJff1VXlxobddttzHZcjuABI0yAZAlD5XKck8eVMOEBI0x4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwTvJQyVzxf7IlA8fBCFkegzZuGMCW8hCCQpldKPP2rzZp07J4kPpHJE8AkXreHTaeVy6utTTY0aGrRrV7EvC0XCkj7JotRTKQ0Nac0a9fZKUjqtm2/Wvn2qqCj29eG6Y8In1siIMhmlUurrU3W1envjvwaB7rlHp09LrOr9EHwyBYFKSjQ4qMWLtWiRjhxRaanyeWWzWrVKn3+u6dMlcQ/PDkv6RIm+mVHGPT166y0NDiqbVT6vMNSDD2rdOlVXS1I+r0ymmJeKosgW+wIwZgoN//KLWlq0datyOZWUaGREJSVqblZrq266SWGoMKR2U0z4JAjDuO1cTjt2aMUKHT+uTEZBoDDU9Olav16zZ0tSECiVYiXviz38hBeG8Y59YEANDZo3T8ePxzv2G2/UihX69lvNnh0P9uimPWwx4Se2IFA6LUl9fero0MGDymYVBAoCVVVpzRo9/rjEjh3nEfxEVbg/9/PPWrVKW7Yon4937JJWrlRTk26/Xblc/DQOEMFPRIXFuaSPP9bq1RocVCYTr+2nTdOGDaqpkaRcTlluy2IU9vATTHQqPp3WiROqr9f8+RocjHfskyZp2TL198e1BwG141JM+IkkesAmaft2rVypwUGl0/HAf+ABvfmmnnxS4q04XBnBTxjR+nxoSG+/rU2bJKm0VMPDKinRSy9p1SqVl3NzDldB8BNAYWJ/8IE6OrR/v7LZ+DW4++9Xe7vmzJG4FY9/gODHtcJTt9On9cor+vBDnT0bD3ZJzc1auVKTJ1/Y2AN/j+DHqWiARw/Vd+7U8uUaGlI6Hbd9773q7NRjj0mj3oEFroqhMB5FJ2eyWR09qmXL9PTTGhpSaamCQGVlamjQd9/FtUen4qkd/xATftwpLOO3b9cbb+iHHy7s2GfMUGuramslbsXjmvCgdnyJaj95UmvW6P334+dw0eG5pia1tOiuuzg8h2vHhB8XRr/HvmOH2tp04EA854NA992n9evjW/EcnsO/wR6++Ar/pexvv6mxUXV1OnAg3rFns2poUH+/5syJT85SO/4NJnyRFSb2F1+opUWHDl0Y7FOnqr1dc+dKFy8BgGvGhC+mMFQ2q2PH1NysJ57QoUMqKYm38S+8oK+/1ty5F+Y/tePfY4FYTGGoTz9Ve7v27o3vw42MaNo0vf66nnlGGnXHHhgTLOmLIzoGu3evHnlEf/6pG26IPw1m6VK9+qoqK5XPK5WidowxfqCKIzozN3Wq5s+XpHPnNGWKPvtMGzeqslK5nNJpasfYY8IXTTTkDx/WvHmaMkVdXbrlFollPP5LBF9M0Wm5Eyd0xx1KpTg8h/8cwRdZFDmp4/pg7Vhk0Ye9AdcHEx4wwoQHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMDI/wBJXDEuJ8BHygAAAABJRU5ErkJggg==", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "9b2a265737cc5a2a908d6445e73bf05470cf414c0c5311bef420642a1d5deb66"}
{"episode": 91, "episode_seed": 2301904464, "split": "val", "timestamp": "2025-09-16T00:39:37.557415", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x145549a674c0>", "max_steps": 10, "abs_size": 336, "master_seed": 10000042, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2301904464, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-7.18629131209777, 1.6157162887958743, -26.40454116026687])</answer>", "action": "('move', [-7.18629131209777, 1.6157162887958743, -26.40454116026687])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-7.18629131209777, 1.6157162887958743, -26.40454116026687])</answer>", "action": "('move', [-7.18629131209777, 1.6157162887958743, -26.40454116026687])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-7.18629131209777, 1.6157162887958743, -26.40454116026687])</answer>", "action": "('move', [-7.18629131209777, 1.6157162887958743, -26.40454116026687])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAIMUlEQVR4nO3dW8sd1R3H8f+a/STSxFMRoljFYmsMtqQHNGrjARrxmKilt/oWvPF9tWkL9VAUY5qYGE30wvJoQBLQ1hQkWAPmsPeeXszzFmZG/H0+l/tqMTzfZ9bstWbt1vd9ARm6uQcATEfwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwTKHvq+/nHgRVG3MPgB+41ar6vjb8oX0/tN4/Xsa3XtdyWdu3zz2OeP7xMqKrV+vTT+vMmTp+vPbvr5deqtXK3X5Orj2j6PtqrZbLeuWVeuedqqoLF+rll2ceFb60YxRD7Tt21PU71xsbtW1bffZZnTtXGxu1Xs89uGCCZ1zPHeyq1bVrtbm5Pn5sVVWr1dxjCiZ4xtJ1VVVPPlk3XN+3Vut1d+qDRd9vfc4sXHvG0nXV93X33XXvPethLei943Xhq1oszOpnI3jG1fd18PmutVos6uOP12fP9sOHzELwjKi1aq0OHWp933ddXb7STp1qVWb1s3HhGd2999aee9bXrlVVe/2N/tKlas1Nfh6CZ3TXXVcHX1i0VouNOvL2+sJXWp+N4BnXcCd/+ukaZvVXV4vjJ9rcg8oleMY1BL9nT/+T22t5rarqr3+pqmqqn4PgGdcQ9q5d7aln2rAI/9ZbdenS3MNKJXjG1VqtVrVtWz32aFVV19XFi3XkSJXFuTkInons3Vu33VbLZbVWh/+8LsHPQfCMbthyt3t3PfDA1oLcu0fqyhWP8TMQPKMb3pzbubMeuH89HLjy1X+7kye3ZvtMSfBMYbiZP/hgu+mmqqpvv+1f//uqqtaCn5bgmcJiUX1fv3uk7d7dqqrv28n3u6pabHiSn5TgmUJrtbxW1++svb9YVvVV9dnZ9tGZ6jpvzk1K8EykdVVVTz2z+NGOVlVffLH+59F1leAnJXgmMszqf3+g3XLzMInvTn3Ylsutz5mG4JnIsCB3yy31619t3dPff7+dP29WPynBM52h+UMvLqpqsaizZ+uTT6rswJmQ4JnOcB7Gs8/Wtm1VVatVnTix9bs0mp+G4JnaHXfUvn21WlW1euP1/uuv5x5QEsEzgxdeqNZqY1Gnz6zPn3PK3XQEz6SGsJ840Pf9ulpVW7x71Cl303GZmcFdd7Vf3lfLZVVffzu8tqN+MoJnUsOm+pt/XM8d6qqvjY06eqwuXJh7WDEEz9RWq+q6emR/39q6qpar7s03q+89xk9B8Mxjz576+c/acllVdfhPK+/GT0PwTG34qam7ftoe3t+GlfkTJ9s331T5rn58gmcGwyl3++5f933f9/XN/7q3367W7LEdneCZwbAIt+/BdvvtVVWXL9drr1V5c258gmcGwwszv/ltu+++rWf306fryhV7bEcneGYwnHK3sdg61rKqPv+8jh1zyt3oBM88FouqqieeqOGUu4sX6+hRe2xHJ3jmMczqH3qobt3VV1Vr9eEH7bvvzOrHJXjmMbwbv2NHPfzQ1o399Jl+c7P3Xf2oBM9shuaff7Hrulos6ssv+4/OmNWPS/DMpuuqtTpwoG68oV+vq6p770S3XJrVj0jwzOzGG+uxR9dD4f94s//Pv+ce0A+a4JnT0Pkf/rioqu3b69z5fnPTrH5Egmd+jz9eVXX1alV1/9p0HsaINuYeANGGXTe7dtWrr9att9bBg3XnndX3flh2LK03eYIYZk58j7j7jE3wfI+YyY9N8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BDk/6lumnfgcFc/AAAAAElFTkSuQmCC", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "0bfbb4168f28f1020b903d8cbf07abaf026ee461848ab8466123e0eb07a46b73"}
{"episode": 92, "episode_seed": 775681233, "split": "val", "timestamp": "2025-09-16T00:39:38.516128", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x145549a674c0>", "max_steps": 10, "abs_size": 336, "master_seed": 10000042, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 775681233, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-1.9229714622287986, 0.9382142148414986, 39.714268624783735])</answer>", "action": "('move', [-1.9229714622287986, 0.9382142148414986, 39.714268624783735])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-1.9229714622287986, 0.9382142148414986, 39.714268624783735])</answer>", "action": "('move', [-1.9229714622287986, 0.9382142148414986, 39.714268624783735])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-1.9229714622287986, 0.9382142148414986, 39.714268624783735])</answer>", "action": "('move', [-1.9229714622287986, 0.9382142148414986, 39.714268624783735])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "891133c9a938d40a4613f2acc032c5443a59b6840446847f31bb3c3b3fafd3ac"}
{"episode": 93, "episode_seed": 3504951778, "split": "val", "timestamp": "2025-09-16T00:39:39.129740", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x145549a674c0>", "max_steps": 10, "abs_size": 336, "master_seed": 10000042, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3504951778, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-2.1734563408960583, 3.98670654523587, 44.36889868177743])</answer>", "action": "('move', [-2.1734563408960583, 3.98670654523587, 44.36889868177743])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAALNklEQVR4nO3dXYgV9QPG8WfOy+6ybb6FaFmhpZgVmb1QdFEEbWWJYZZahApZGeFNrUVBdlGBgSImRJCCCWVKJkaBodGNF4UXUbr5Qq3GUpYv60uum+fMmeliBq2r/3/Vs3Oc5/u5ksWLgT3f/b3Mb+YEcRwLgIdC1hcAYOAQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCdxLHiqKsLwJZKmV9ARgocawgUBBkfR3IEsF7qNW0apVOnFB7uyZOTOOHnyCO46yvAfVXqeimm7Rnj158UUuXqlpVuZz1NSEDrOE9nDql7m6VSrr5Zknir7wrgs+7pO2ff9apU7rkEl1xhSQV+L2b4hfvYedOSbr8cl19tSQW8LYI3sOuXZI0YoSuuoodO2cEn3fJlD4Z4UeOVEuLwpApvS1+8XmXDOadnZJ0zTUSO3bWCD7Xktl7T49aWyVp3DiJHTtr3Ic3UKupt1cnTqitTUOGZH01yBLBGwhDlThSCYngASv84c+1ZA2/dq36+nTPPbr2Wu7JmWP/Jr+SJ2H/+ktvvqlnntHnn0ts0bsj+PxKBvN9+3TypKJIo0ZlfUHIHsHnVzKYd3Xp8GGVSpo4UeJQrTuCz69kSt/Vpb4+DR6cnroheG8En19J2/v3S9L48TwADxF8bsWxSiWFoX7/XUGgG2/M+oLQEAg+p5Iduz/+UFeX4lgTJmR9QWgIBJ9TyY5dT48qFZVK6QjPPTl7nLTLqWSE7+tTZ6e+/17Tp2vYME7dgOABI0zpDdRqTOaRIPj8qlT0ww/q7laxyEweCYLPo+TIzcGDmjdP48drzRqJHTtIBJ9nx49r1y719WnkSEl8qxxE8Hl26JB6ezV4sEaMyPpS0CgIPo+St9bt3StJY8dq6FCJU/SQCD634li7d0vS6NEaNkwieEgEn1unT2vPHkkaM0ZtbSzgkSD43El24ysV7d6tclmjR0tSrcYID/FOu9w6dkxdXZLSLXpAEsHnUDKSDxqklSt19KgmTZKkYjHbi0KD4Cw9YIQ1fK6xV4f/Ivic6u7WoUMKw6yvA42F4POoUtF99+mBB7R1qySyxxls2uVLFKlQ0N692r9flYp6e7O+IDQWRvh8SbZgd+1SGOrKK3XDDRLfD42z+CjkSxJ8csYueRc9r7XCvxB8Hm3frijS8OFqaVEYEjzOIPh8Sdpua9OoUbrllrM/ASRx8Cafenr0yy8aMkTjxjGlx78RPGCE23J5FEXpwM7+PP6LER4wwggAGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOBxLuJYYagoyvo60E9BHMdZXwMuMslHJgjSfyf/wEWBER79c6bwpUv13XcKAtVqWV8T/m8Ej35Iav/tN82apY4OdXTo4EEVCsztLxoEj35IJvOvvqr169XcrG3b9PbbZ+f2aHys4dEPyQjf2an2dh04oFJJYaiVK/X006rVVCxmfX34Xwge5+KLLzRjhsJQYajWVn39te64gw28iwBTevRPHCuKNGWKFi5UtapCQb29mjdPBw5IYjHf6Age/RME6c78K69oyhTVaiqXtXOnOjrS/8CUsZERPPotmbe3tuq993T99apW1dystWu1ZIkKBe7SNTTW8DhHYahSSZs3a8YM9fYqjtXcrA0b9NBDbOA1LkZ4nKNSSbWaHnxQixYpilQu6++/tXCh9u9XscjEvkExwuO8JDvzTz2ljz5SuaxqVQ8/rI0bVSymq300FEZ4nJcgUBxr+XLddpuqVZVK+vJLvfGGCnyyGhIjPM5XFKlQ0LffasoUHTmiUklRpE8+0eOPs5hvOPwdxvkqFBSGuvNOLV6c/iSK9NJL6uxUscimfWMheFwAxaKiSPPmacEChaFaWtTdrRde0MmTPFrTWJjS48KIY8Wxjh/X1Knati0d2+fP17vvKgjSPTxkjuBxwSSL+d27dffdOnw4Xb1/8IHmzuWYfaMgeFxISfOffabp09PChw7V1q2aNInmGwJreFxIydHaRx/VokWKY5XL6unRnDk6diy9gYdsETwusEJBcayFCzV1qioVlcvasUPPP69qVbUazWeM4HGBJSN5W5uWLNGYMapWVSxq3TotX56exqX5DLGGR10kR262bNH06errk6RLL9WGDbr3Xk7jZIkRHnVRLCoM1d6u115TGCqOdfSonn1W+/alN+2RCUZ41EtyZz6K9MQT+vTT9NGaadP08cdqbpbEpn0GGOFRL0GgQkGlkt5/P31PRrmsjRv1zjsKAgb5bDDCo76SO/Pbt2vyZB09mv5k0yZNncpiPgOM8KivZDC//XYtXqxCQYWCgkDz5+unn1jMZ4DgUV/JazDCULNna+5chaGKRR04oAULzg74GDAEj7pLFvNNTVq2THfdlT5O9803euut9D0ZLCsHDGt4DJBkxb5jh9rb9eef6eN0q1drzpz0fZgYAASPgZNs4K1bpyefVLGoalWXXaavvtKtt/JozQBhSo+BkxyznzlTHR3pC/COHNFzz+nYMYmJ/YBghMdAiyJVKpo2TZs3p6dxZs/Whx8yyA8ERnhkoKVFK1bouutUraqpSWvWaNmydDMfdcUIjwwku3SbNmnWLJ0+LUmDBmn9et1/Pxt49cUIjwwkXyz/yCN6/XXFsZqadPy4Xn45/c557szXDyM8MpM8XTNz5tlHayZP1urVGj5c4tGa+mCER5aCQCtWaMIEVauS9OuvqlZ5GVYdETwyk4zhI0dq1So1Nemxx7Rli0aNUhzzTVX1wpQeGUtO4/z4o8aOVWsrN+fqi+CRvTORJ/GjfggeDSH5GDK21xt3PNEQSH1gMH8CjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YOQf437+1ZZOoFUAAAAASUVORK5CYII=", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-2.1734563408960583, 3.98670654523587, 44.36889868177743])</answer>", "action": "('move', [-2.1734563408960583, 3.98670654523587, 44.36889868177743])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-2.1734563408960583, 3.98670654523587, 44.36889868177743])</answer>", "action": "('move', [-2.1734563408960583, 3.98670654523587, 44.36889868177743])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "0c360f22282f6e5466793e49871166023805ddf6b437b63cc0ce78030a40e9cc"}
{"episode": 94, "episode_seed": 3104300817, "split": "val", "timestamp": "2025-09-16T00:39:39.762171", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x145549a674c0>", "max_steps": 10, "abs_size": 336, "master_seed": 10000042, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3104300817, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [0.8018365951798573, -5.543951305741924, -38.876247592582956])</answer>", "action": "('move', [0.8018365951798573, -5.543951305741924, -38.876247592582956])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAJWklEQVR4nO3dyYtc5R7H4e+pqiQOyQWRLMSJOKMGxdk4xHlAV6IQNeAf4MKF4H/gQly6Uly6U0FxQFFREeMYhBZExQlRiJCgoiYaq+rcRVW8XvRevdzqPlX9e55V9+nNu/n0+573vJzTtG0boIZe1wMAVo7goRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQy6HoAf248zmiUXi+9Xpqm69HAatG0bdv1GP5C22oeZmPulvSjUZK88kruuSdPP50ff0zTZO7/KcFimNPgn3wy99+fbdty+eX56KM0zfQ68P+Yr+DbNmvX5pdf8sEHaZr89FP27csJJ6Rt05uvkcJCmq+MxuMkWVrK0tL01n3r1vT7GY3cxsMMzFfwk3v1paXs2pWmyZo1ufrqJKZ3mI05Kqlt0+9nOMw770zn8/Xrc+WVieBhRuaopMkafteu7NiRtk3b5rzzsmGDLXqYmfkKPslnn+X99zMYJMmNN6odZmmOgu/10rZ5881//Xr11fbqYJbmKPimyb59eeGFJBkOc9ppOfrorscEq8u8BD9Zuu/Zkx070u8nyXXXZd26JCZ5mJl5CX5S9VtvZe/eafBXXJFeb/pkHpiJeQl+4umn0zTZvz9HHpmTTup6NLDqzFHww2FefHH6cO7ii3PEEYn1PMzUXAQ/uYF/55188810r/6ii3LwwU7UwozNRfCTG/XnnstolLbNhg05/fQkHsLDjM3RG28m6/kkmzdPg3eiFmar+6TG4/T7+fTTfPHF9MoZZ2Tjxvz6q+BhxrpParKMf/nl7N6dJINBzjuv6zHBKtV98EmaJq+/nv37k+SYY3LJJUmmT+OBGeo4+PE4g0G+/TYffDC9smlTjj9++spaYLa6D75p8u67+eijJGmabNmStnXADpZFx8FPtuV37sz336dpcuihufbaNI31PCyLLoNv26xZk59/zs6d0183bsyWLYkHcrA8Og4+yWef5Y03ple2bk3TWM/Dcuk++I8/ztdfT19xc/31ifPzsGw6C37yqvnxOK+/Pv22zLp12bo1ETwsmy5n+KbJd9/lpZfSthmNsmVLDj+8w+HA6tfx5tjXX+e997JmTZLccIPNeVhenQU/Wbe/+uqBcfRy6aW+GwnLq+NNu2efTZJff83JJ+eYY6YXgWXSZfDDYXbsmD5yv/LK6Q28J/CwfDqe4ffuna7tL7wwg4FvQsPy6ng+nXwZ9ogjcuqp3Q4ESug4+F4vTZOzz/YReFgJ3RfWtjnrrKxfn+HQkRtYXl0G3+vll19yyCE555zEATtYfh2ftBuNctxxueCCxCtuYPl1v6Q/+eRs3Gg9Dyuhy+BHoxx00PQNdsAK6DL4/ftz2GG59trEeRtYEV12Nh7n2GNzyikZjwUPK6HLzgaDXH552tb5eVghXQa/dm1uuCFNY3qHFdK0nU6vw+H05VbACug4eGAlWUxDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoZBFC75tMx53PQhYVE3btl2P4X/XtmmargcBi2fRZvilpbz2Wpomo1HXQ4HFsyDBT5YhH36Yq67KbbflxRfT72c4zCIuT6A7CxL8xCefZP/+fPVVtm3Lo49mMMhopHn4+xYk+Mkd+4035oknsmlT9uzJHXfkwQczGNjDg79vQYJP0rYZjXLZZXn88WzenH37cuedue++9PvTvwJ/ZdF26YfDDAb5/PPcdlvefDNJ7r47996bdets3cNfWpwZfmIwyHCYTZvy1FO55pokeeyxfPllkoxGlvfw3y3aDD8xHqfXyw8/5K67cvPNuf76jMfTtf1oNP0B+IPFDD5/dvZm377s2ZOjjtI8/CeLtqT/zaT2yTK+bbN3b+6+OzfdlKWl9PuO5cCfWtgZ/jeT+Xznzpx/fkajnHRSHn44l1xinoc/WtgZ/jf9fto2p56aRx7Jhg35+OPcckueeSb9/nTyBw5Y/Bn+955/Ptu3Z/furF+fhx7Krbd2PSCYL6so+Mk23htv5Pbb8/nn6ffzwAO5444cfLDn8zCxioLPgcd177+f7duztJQkb7+dc891JgcmBl0PYKZ6vQyH2bw5TzyR22/PmWfmxBOTqB0mVtcMPzHZn9+9O//4R9auTQ6ctJc95a3G4HNgbR/vxoF/s0qDj1kd/sTquof/PanDHyz+wRvgbxM8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBTyTyoa7PoA72QLAAAAAElFTkSuQmCC", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [0.8018365951798573, -5.543951305741924, -38.876247592582956])</answer>", "action": "('move', [0.8018365951798573, -5.543951305741924, -38.876247592582956])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAJgElEQVR4nO3dTagcVh3G4ffOTBJErQgiVbswC11ECootClIxoBWptiBNqW1oFmalpXcRraJYEVsloIjmbhQFEVfWQGgJaNFAdFERu4nYVhFbJSBiChY/Isl8uJjpTbXVNvZj7tz3eVYX7l2czS//c84cJmuz2SxAh8GyFwC8eAQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRbZt8LNZxuNlLwK2mLXZbLbsNTz/ptMMBkkym2VtbdmrgS1jG0748TiDQc6ezdGjWVvLdvwHDf5P2y34ySSjUX71q9xwQ264Id/5TtbWMpkse1mwNWyTLf1sltlssY3/9rfzmc/k9OkMBrn00tx7b97ylgu/hWbbIYLpNEkGg5w5kw9/OAcP5vTp7NyZ6TR/+1t+/eusrS3+Bsqt/IQfjzMaJcmJE7n11jz0UAaDxcB/+9tz5EiuuOLCHR6UW+0O5rU//ng+97m897156KHFYN+1K4cO5cc/zhVX2MzDBSs84ecfuf3iF/nEJ3LiRAaDDAYZj/OmN+ULX8i11yYx2+HfrF4N8+16krW1bGzkuuty4kR27Mh0mvE4Bw7k+PFce20mE7Md/tNo2Qu4OJsT+49/zPp6jh7NdJrRKOfP55WvzJe/nP37s2PHhYM98GSrtKXfzPiee7K+nkcfzWi0eD+7d282NrJnT2IbD//dypQxr/3Pf87HPpbrrsujj2bnzozHecUr8tnP5r77smfPhc/ngKe1AhN+88R+8mTuuCM/+UkGg8X7uSuvzJ135uqrF3/m2Tz8b1v9pLuZ8eHD+dKXcuZMdu7MuXNJcuut+eQn87rXZTzOcKh2eGZbd8JvHsV/97vcdluOH0+SHTty/nxe85p85SvZt2/xOZz7OXiWtmjw84yn09x9d9bX86c/LVJP8oEP5Ktfze7difs5uEhbLpf5F1eMRjl9OrfdlhtvvFD7q1+dw4dzzz3ZvXtxsFc7XJStNeE3J/Z99+VTn8oDD2Q4zGyW6TTvfGfuvDNXXXXhDg+4WFvo+Dt/GHf+fD7/+Xzta3n88Qv3cx//eG6/Pa96lRM7PCdbYsJvDvYHH8xHPpKTJ5NkOMxkkte/PhsbueaaJGqH52rJh+D5iX0+2L/1rbzjHTl5clH1bJZ9+3L//bnmmsWuXu3wHC05+Pk3Uv3+9zl4MAcP5i9/Wbyfe+1rc+RIvve9XHqp+zl43ixtS7/5oubYsXz603nwwcXncNNp3vOefPGLeetbPZ6D59kyz/CzWW6/PRsb+ec/F/dzo1HuuCPr67nkkpw/nx07lrU02J6WGfy5c9m1K2tri++c27MnGxvZuzdxPwcvjCWfjF/60sW+/eDBnDyZvXsXu3q1wwthyWH9/e+57LLcdVduuSXxVBZeYMvMazbL9dfnBz/ILbcs/q8ItcMLasmXdvOP5SaTDIfLWgUUWf5LO9t4eNEs/6Wd2uFFs+TavKuBF5PxCkUED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0VWLfjZLNPpshcBq2ptNpstew0XbzbL2tqyFwGrZ9Um/KlT+elPs7aWyWTZS4HVsyLBz7chDz+cd787N92UH/0ow2HG46zi9gSWZ0WCn/vtb3PuXE6fzo035u67MxplMtE8PHsrEvz8xP7+9+fYsezenccey4ED+frXMxq5w4Nnb0WCTzKbZTLJu96Vo0dz+eU5ezYf/WgOH85wuPgt8ExW7ZZ+PM5olEceyU035Wc/S5JDh3LXXdm1y9U9PKPVmfBzo1HG4+zenXvvzdVXJ8n3v58//CFJJhPbe/jfVm3Cz02nGQzy179mfT3XX5/3vS/T6WJvP5ksfgCeYjWDz9O9vTl7No89lssu0zz8N6u2pd80r32+jZ/N8o9/5NChfPCDOXUqw6FnOfC0VnbCb5rP8wceyNvelskkb3xjvvnNXHWVOQ9PtbITftNwmNkse/bku9/Ny1+e3/wm+/bl+PEMh4vhDzxh9Sf8k/3wh9m/P2fO5GUvyze+kQ99aNkLgq1lGwU/v8a7//7cfHMeeSTDYY4cyYEDeclLfD4Pc9so+Dzxcd0vf5n9+3PqVJL8/Oe58kpvcmButOwFPK8Gg4zHufzyHDuWm2/Om9+cN7whidphbntN+Ln5/fyZM7nkkuzcmTzx0l721NuOweeJvX18Nw78m20afEx1eBrb6wz/ZFKHp1j9hzfAsyZ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KPIv2B1bX2rDB0IAAAAASUVORK5CYII=", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [0.8018365951798573, -5.543951305741924, -38.876247592582956])</answer>", "action": "('move', [0.8018365951798573, -5.543951305741924, -38.876247592582956])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "507ae6dd0c4c3113d66a9f204979027efa14ebc95e9b991747fb27e3a8a6bb57"}
{"episode": 95, "episode_seed": 2486490338, "split": "val", "timestamp": "2025-09-16T00:39:40.379645", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x145549a674c0>", "max_steps": 10, "abs_size": 336, "master_seed": 10000042, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2486490338, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [99.94101537974176, 59.174922840577096, 37.34112689888244])</answer>", "action": "('move', [99.94101537974176, 59.174922840577096, 37.34112689888244])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [99.94101537974176, 59.174922840577096, 37.34112689888244])</answer>", "action": "('move', [99.94101537974176, 59.174922840577096, 37.34112689888244])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAIZUlEQVR4nO3dO4hd5QKG4W9uMuIFiQiCiNqIWAQLBYmFoAmIF0QLxUIRRLwUErWIiihWQVFjbFKrlYUKptIIgUQrg5USEAQF8UYgiBoSnNn7FGvOJEejSY4Z5/I9D5uw2LMZ1oR55//Xv9bea2I8HgfoMLncOwD8ewQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPp8l4vNx7cGKCh9NhPM7ExHLvxIkJHv6Z0SijUSYm8uOPufPO7NiR0WjFjvYT45W6Z7CafPhhNm/O/v0566zs35+LL16ZY/70cu8ArGbjcQ4dyiuvZOvWHD6cc8/NE0/knHOWe7f+khEe/pn77stbbyXJVVdl69bcdNNy79DfcQwPp2hxjBw2rrkmSe69N++/n5tuytzcij2AjxEeTsF4nPE4k5M5fDjT05meTpL5+Xz8cTZsyMxM5uYWnlypjPBwcoa198nJfP55Nm3K88/nyJHMz2dyMtdfn5mZjEYrvPYY4eGkzM9naipJ3ngjTz2VH37I+ednz55ceeVC8ytvQf64jPBwIkPtP/2URx/N/ffnhx9y0UV56aVccsnCmL9Kao8RHk5gOJ3+ySfZvDn79iXJDTdk27asX7/ce/b/MMLD35qYyPbtue227NuXqak8/XTeey/r16/w1fi/stLXGGAZjMcZjY7O1b/5JgcP5tJL8+qrueOOJKtife64VuVOwxIaUh+W6IbtZ57JeJxHHsnlly9cNj+5WqfGjuHhGEPhc3N54YVce21uueV/LolfkZfHnxIjPPzXsOT+1Vd5/PHs3Jl167J378KJt+FLq3ZgX7TqfwA4DUajJJmYyDvvZOPG7NyZJBs35sILk2RyMtPTa6D2CB6SZHIyv/2WLVtyzz35+uusW5fXXsvbb2fduiSrfRp/LFN6ug2Xx3/2WZ55Jrt2JcnVV2f79mzYsNx7tiSM8LQaro2fmMh4nB07smtXpqfz4IP54INs2LAwyV9zjPBUGhbhho2pqTz2WL7/PrffnoceSo65cn7NcVqOMsOJtyR79+aCC3LFFQun1n/+Oeedd/QNsGvUmv3B4DiGd7bNzWXHjtx8cx5+OAcOLOQ91J6s4dojeFqMxwsT9W+/zQMP5NFH8+uv+fLLfPfd0RdMTKylBfnjEjwFhpinpvLRR7n55rz5ZpLcemt278769SWpDyzasdYNPR85kpdfzosv5pdfMjubZ5/Nk09mdnYNr88dl+BZ04bD8iNH8vTT2bYtSa64Iq+/nk2bkrW8Gv9XTOlZ04bT7DMzue66zM7m7ruze3c2bVo4CV9We5yWY+0bpvSjUb74IpddlrPPXl2fQnd6CZ4yq/8trv+EKT01hrGtuPYIniLdqQ8ED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0XceYbjWK7PLvcxk0tN8ByH8NYqwfcabqy2Z08+/TSzs5mayvT0yT6mpjIzk8nJhTu4nNJjuP/6sHHs86NRzjwz034ll5L/3V5D8O++m+3bT883nJo6+ldj2Dj2j8ifv3rsk7OzOXQoW7bkxhsLb/H47xF8u2GUnpzMaHT0LumL/55wbj8c7Y/HCxvz85mfz+HDR58/JXfdlSSjkeCXiuDbzcxkZiZnnJHff8/cXObnl2fFbvEurywpN5PsNdxV8cCBHDy4MMIPA/XixuL23NwfH/PzmZvL778vDOl/fsEfXra4/VevGY9z8GCee86UfmkJnmVw7IR/8RdwNMr0tBMES0vw7RYPv0/G39Qo1FVB8FDEpbVQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQ5D9ASPGGoiUvVAAAAABJRU5ErkJggg==", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [99.94101537974176, 59.174922840577096, 37.34112689888244])</answer>", "action": "('move', [99.94101537974176, 59.174922840577096, 37.34112689888244])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "afadb460dac7756c6ad03c9efe155437533162739bf8faca5d7034963f63eba0"}
{"episode": 96, "episode_seed": 3588377304, "split": "val", "timestamp": "2025-09-16T00:39:41.384746", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x145549a674c0>", "max_steps": 10, "abs_size": 336, "master_seed": 10000042, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3588377304, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [2.522953719743888, 1.797744109308743, 51.30655589364252])</answer>", "action": "('move', [2.522953719743888, 1.797744109308743, 51.30655589364252])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAJr0lEQVR4nO3bz4tdd8HH8c/9MZMW2woipLboQkW0gkqlUhVTSoqCFQ3FKq0rEQ3+CgjWv8GVoAsJrdVq8UdbqbHqJqtSuqkbhaLVnWIqZCiNjUmbmbk/nsVcZpJpfGzleUzufF4vsrgz99w7B27e3+8533PuYD6fB+gwvNQ7APz3CB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KjC/1DvC/ms12Hg8GFzy160d4BQR/eRu+7BBsPt/9m8kk0+kF/W89HgwyGi0ez+eZTnee2vUntn95/psbUPaiwfzl/4G4TEwmee65zOdZWcnKSsbjjMdZWbnIKPB/az7f+Tcc/r//Of6LzPCXpdksw2FOnszhw1lby+pqRqOd4EejHDyYI0cymWQ8zve+l6eeymtek/E4q6tZWcm+fRkMsn9/PvnJXHNNkqyt5Yknsm9fVld3tlldzWyWN785r31tkszneemlJLniCpHvVYK/jJ09m8cfz9mzF3lqdTVHjmQ6zXicRx7J8eMX2ea663Lw4CL43/8+d9+d8TijUYbDjEYZjXLlldnYyNGjOXQoSdbW8pWv5I9/zOpqkuzblyTf+EbuuGMxsrD8fIqXpa3z52uvzdGj+cc/srGR9fWsry8enD2bAweSZDRKkgMHcupUrrgiZ88uNltfz7lzue66XHnl4g0nk8V8vrmZ2SyzWebzjMeLN9yyvp6nn86f/3zBnjz7bHKxhQOWk3P4Di++mJMndw8cm5t54YV88IO5/vokOX06x47lxInMZjl3LpNJnn8+n/1s3v/+TKeLwYUlJ/jL27/6dHYtob98M2vsXIzga2x/0Ls+8cFgZ3TYunR3/jZW6fcWwUMRgzcUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUEfyrNp9nPr/UOwH/EcG/UvN5ZrMkGQwyGOSll7KxoXyWjOD/vfk8k0kGgwyHSfL3v+eb38zb3pb7789gsBgFYCkM5iapf20r9ZWVJJlO8/TT+dnPcvRoXnghSW68MU8+mX37FgMBXP4Ef3HzeabTDIcZDjOd5vjxPPpoHnww6+sZDLKyko2NJDl2LJ/4RKbTjEaXeo/hFRhf6h24HM3nGQwyHmdzMz/6UY4dy29+sziqX1nJ5mY2NvKe9+Suu/LOdyYxw7M0zPALW2vv2+meOZP77stPfpLf/S7T6eIEfjpNkptvzle/mg99KG984yXcX/hPmOEXR+/jcQaDJHn22dx3X37wg/ztbztDwHye0SgHD+brX8/NN+fqq5NkMlkc88OyqJ7hz1+T29zMM8/k/vvzwAM5fTpJRqPFlP6GN+SWW/K1r+V971u8cGtlXuosndLgt2f1JOfO5fHH8/DD+eEPM5tlMMholMkkSW64IbfdlsOHc8MNOy9MFscCsHQag5/NFpPzmTN5+OE89lh++cskGY0yHGZzM0luuil33pk77shb3pIkk0lGI52z9FqC3zUznzqVe+/No4/mt79NsriotnUAf+ut+fznc+BArr8+STY3FwMB7AF7P/itW2K3r5OfOJFvfzs//3n+8pckGQ4XJ+SjUW6/PUeO5Kabcs01idTZi/Zy8LNZptPFmtzGRv70p3z3u/nxj3PmTHJe6vv357bbcs89efe7d14Ya3LsRXsz+POX3//5zzz5ZH760zz4YJLda3If/nC+/OW89a07L4w1OfauPRj89o2uzz+fY8fyi1/k179OsrjSvrUm94EP5NChfPrTedObkiwW53XOnrdHgt81M6+t5d5786tf7azJDQaLWf322/OZz+TWW3PttYkTdcosffC7bon961/zrW/lscd2r8klufPOfOlLee97F/fJSZ1CSxz8bJbZbHHzzPp6nnkm3/lOHnooL76YnJf661+fj30s99yTt799kff2vfHQZomD33LqVJ56Kt//fh55JMkF33J5xzvy0Y/myJHFiXqsyVFviYM/cSLHj+ehh3L8eHLhmtwtt+TjH8/ddy9O1Le+7gos5bfltgJ+4ol87nNJMh4vrsMlOXQon/pUPvKRvO51iVti4UJLPMOfPJl3vStra0kyHOauu/KFL+TGG3PVVYk1ObiYJQ5i//4cPpyrr84Xv5g//CEPPJADB3LVVZlMMptlZUXtsNsSz/DzeU6fznPPLb7QFvfPwL+zxMFvsyYHr9BSLtptc5kNXpXlDl7q8KpY14Iigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigoci/wOxoVmppL1BsgAAAABJRU5ErkJggg==", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [2.522953719743888, 1.797744109308743, 51.30655589364252])</answer>", "action": "('move', [2.522953719743888, 1.797744109308743, 51.30655589364252])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [2.522953719743888, 1.797744109308743, 51.30655589364252])</answer>", "action": "('move', [2.522953719743888, 1.797744109308743, 51.30655589364252])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "a48b20b1cdceab2e4526bee726cd54ad34593a06c7494d92f6bfcfbecc651187"}
{"episode": 97, "episode_seed": 3452081910, "split": "val", "timestamp": "2025-09-16T00:39:41.993313", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x145549a674c0>", "max_steps": 10, "abs_size": 336, "master_seed": 10000042, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3452081910, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-9.829418989356329, -3.0043595096000986, 34.04084979852232])</answer>", "action": "('move', [-9.829418989356329, -3.0043595096000986, 34.04084979852232])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-9.829418989356329, -3.0043595096000986, 34.04084979852232])</answer>", "action": "('move', [-9.829418989356329, -3.0043595096000986, 34.04084979852232])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-9.829418989356329, -3.0043595096000986, 34.04084979852232])</answer>", "action": "('move', [-9.829418989356329, -3.0043595096000986, 34.04084979852232])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAGpUlEQVR4nO3cu69c1RnG4W/tGYNFYyVC7hFgh0h0TkFhiYAVDFg0CTWiCbgAKYEKhA5B4lZB0oaKS03BTXIKUBzJ5CKlAyTTAQWNLVtQ4DOzFsXxf+Bzzh77fZ52mtX89K299trTxhgFZJjmXgCwfwQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQTY9+N5rjLkXATeKTQ9+mmoMzcPu2Ojge68LF2qaqjXNwy7Y0OB38v7xxzp1qh57rL7/vlqr3udeFlznNjr4V14e587V22/XsWN19mxNk+bhmmxi8L3XNNW/zo433mzLZVWN3uvw4bmXBde/jQu+9+q9Ll2qZ/7Uf/ppTFMdPFivv9aPHq31uqaNWy9cTzYuoDFquay//XX87/+LxaJduVKnHh6//8Okdrh2bWzS8fd6XYtF/fc//YGTdelyq1GHbx3/PNvuPNJ2fgKuxQYNzd6rtbp8uV78S7t4cWrVem/PPT/deaT1rnbYBRsUfFVNU73zTn38cbvpplqv68Rv+1NPXz3DA67dpmzpd1Zx/nzdc09dvFiLRd1yy/j83+2uX9UY1drc64MbwgaNztbqmT/3CxdqsajVqra21A67bCOCX6+rtXrr7+PDj9pyWatV3XtvPfGEW/Swy+bf0u88on/9dd133/j2u9ZG/eKX4/332/Hj5WQedtfME36Mqzdttl5Yf/NNHVhWH/3JP/bjx2t7W+2wy2ae8KtVLZf13rv1+ONjtW5j1G+OjTP/aIcO1RgO52GXzRn8zmb+u2/H7x6oL79si0W1Gp98UvefcM0G9sRsM3SMalXrdb3y6vjii7FzMn/6yXH/iTaG2mFPzLylP3OmHnmkeq/t7Tp6pJ/7fDp0yE4e9sqcwa9Wdffd9dVXtVzWer3+8IPpoYebF++wd+Ycpr3X+fM1TbVa1enTi5MPtrlfEcINbubd8803V+91xx317LNX/9DGeIe9M2fwO7P94MHa2qrbbnPNBvbczBP+ypXx0Mn+6KO1ve2sDvbcnId2P/xQv76rf/rZdPvtvoGF/TBnZAcO1EsvNbXDvpn/4xlg38z/8Qywb2YO3ks42E8enSGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CHIz4+DK1dsUIwzAAAAAElFTkSuQmCC", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAGpUlEQVR4nO3cu69c1RnG4W/tGYNFYyVC7hFgh0h0TkFhiYAVDFg0CTWiCbgAKYEKhA5B4lZB0oaKS03BTXIKUBzJ5CKlAyTTAQWNLVtQ4DOzFsXxf+Bzzh77fZ52mtX89K299trTxhgFZJjmXgCwfwQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQTY9+N5rjLkXATeKTQ9+mmoMzcPu2Ojge68LF2qaqjXNwy7Y0OB38v7xxzp1qh57rL7/vlqr3udeFlznNjr4V14e587V22/XsWN19mxNk+bhmmxi8L3XNNW/zo433mzLZVWN3uvw4bmXBde/jQu+9+q9Ll2qZ/7Uf/ppTFMdPFivv9aPHq31uqaNWy9cTzYuoDFquay//XX87/+LxaJduVKnHh6//8Okdrh2bWzS8fd6XYtF/fc//YGTdelyq1GHbx3/PNvuPNJ2fgKuxQYNzd6rtbp8uV78S7t4cWrVem/PPT/deaT1rnbYBRsUfFVNU73zTn38cbvpplqv68Rv+1NPXz3DA67dpmzpd1Zx/nzdc09dvFiLRd1yy/j83+2uX9UY1drc64MbwgaNztbqmT/3CxdqsajVqra21A67bCOCX6+rtXrr7+PDj9pyWatV3XtvPfGEW/Swy+bf0u88on/9dd133/j2u9ZG/eKX4/332/Hj5WQedtfME36Mqzdttl5Yf/NNHVhWH/3JP/bjx2t7W+2wy2ae8KtVLZf13rv1+ONjtW5j1G+OjTP/aIcO1RgO52GXzRn8zmb+u2/H7x6oL79si0W1Gp98UvefcM0G9sRsM3SMalXrdb3y6vjii7FzMn/6yXH/iTaG2mFPzLylP3OmHnmkeq/t7Tp6pJ/7fDp0yE4e9sqcwa9Wdffd9dVXtVzWer3+8IPpoYebF++wd+Ycpr3X+fM1TbVa1enTi5MPtrlfEcINbubd8803V+91xx317LNX/9DGeIe9M2fwO7P94MHa2qrbbnPNBvbczBP+ypXx0Mn+6KO1ve2sDvbcnId2P/xQv76rf/rZdPvtvoGF/TBnZAcO1EsvNbXDvpn/4xlg38z/8Qywb2YO3ks42E8enSGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CHIz4+DK1dsUIwzAAAAAElFTkSuQmCC", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "020f98c6408b6295fb5342bca5878bccd07e71f17f64220e50fb6e878426fccb"}
{"episode": 98, "episode_seed": 2166331537, "split": "val", "timestamp": "2025-09-16T00:39:42.606311", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x145549a674c0>", "max_steps": 10, "abs_size": 336, "master_seed": 10000042, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2166331537, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-25.10076359797378, -20.57552447375054, 28.40973041167831])</answer>", "action": "('move', [-25.10076359797378, -20.57552447375054, 28.40973041167831])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-25.10076359797378, -20.57552447375054, 28.40973041167831])</answer>", "action": "('move', [-25.10076359797378, -20.57552447375054, 28.40973041167831])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-25.10076359797378, -20.57552447375054, 28.40973041167831])</answer>", "action": "('move', [-25.10076359797378, -20.57552447375054, 28.40973041167831])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "28ece720a20ac68db39f42ef5000a72572a43083f116615147b39cb21fd8ef12"}
{"episode": 99, "episode_seed": 3025385617, "split": "val", "timestamp": "2025-09-16T00:39:43.559875", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x145549a674c0>", "max_steps": 10, "abs_size": 336, "master_seed": 10000042, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3025385617, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-25.111859694647748, 47.68962378064149, 32.4745241528149])</answer>", "action": "('move', [-25.111859694647748, 47.68962378064149, 32.4745241528149])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-25.111859694647748, 47.68962378064149, 32.4745241528149])</answer>", "action": "('move', [-25.111859694647748, 47.68962378064149, 32.4745241528149])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('move', [-25.111859694647748, 47.68962378064149, 32.4745241528149])</answer>", "action": "('move', [-25.111859694647748, 47.68962378064149, 32.4745241528149])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAH50lEQVR4nO3dX5MU1R3H4V/PsCAFVu2CWqFWwIi4pNhFyQvwPfhafRHJRRIKWEQNlYgIBatG3VV048ycXPTEq9w5k+7a7/MUF1Rfnarpz54+p/pP11orIMNk6AEA/z+ChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCCH6/Whh4BJ47gx6vrarGoxWLocXCCCH6kjo/r4KAmk5r4iVgdZ9Po9Ffyf/5T7e7W3l59+GE9elRVpnpWQPAj9Ze/1Vdf1f5+ffRRHR5WWdKzCqeGHgD/Q2t1/27ruq6qdnfrtdeqqrpu4FFxApjhR6frquvqzl/nrVVrde1avf768jj8RoIfl/66/eionjyb9oVfv15nz9ZiIXhWQPDj0gf/4EEdH/d9L35/dV5V8/mQo+LEsIYflz74+/fr38fVWp19pbt6tcr1PCtihh+Xft2+f7/N5lVVb17uLl+dlOBZEcGPTtfV/oNl39vb9dZby4Pw2wl+RFqr6bR+/LGeP18e2d6uc+dqNnO/HavhPBqRfiv+0aP6/vvlkbffrtbcY8fKCH5E+h27Tz+tb7+tqnrlldrZqa4zvbMyTqUR6WfyTx7MX75sVbW1Ve++W2UBz+oIfkT6sP/x+bLvzc26caNaEzwrI/ixWCxqY6N++qmePptUdVXt9YvzV1+t+dwlPSvjVBqLfgH/5Ek9fdof6P5wwxNyrJjgx6Jv+4vH7csvW1VNp7X3/rR/kAZWRfBjsQz+83Z01Lquzpypvb0qO3aslHvpx2I6rar65xfLP8EbG4Jn9czwo9BaTSZ1fLx8m1VrdemN2daWLXpWTPCj0F/Pf/31Mviqev+PEzt2rJzgR+Sbb+qzz5b/v/XexNzOygl+FPrJ/MWLOjysjY2qqtu3hx0RJ5PgR6G/tebX6b2rdvPmgMPhxBL88PqducWi9verqmazenN7sbnZyhY9qyb4sXj5sh7st6pqrd67PT19WuusnuDH4uWP7f7d2WRaVbW7W2fODD0gTiLBj8WLg+67o41T06qqW7eqfGqGNRD8WNy7V9Wv52vxzrVFCZ41EPzw+p25PvhfZvW7N9qFCxbwrIXgx+LunXlVVaudm9PNra5s0bMGgh+F1ur+veUV/M67tbU17HA4sQQ/sH6h/vhx/ev7U/0Dczs7NZnUfG6GZ/UEPwp379ZsVotFTSbVf1vKjh3rIPiB9WHv79dsVq3VxYu1vT30mDi5BD+w/tXU9+4svw575coyeC+uZB2cVgPrF+qf/n35Q1y5Upcuee8F6yL4IS0WNZ3Ws2f17Xd93+3K5Tad1i+/CJ61EPyQ+gX8w4d1dFRV1XXtnWvzqhI7ayL4IfXBf/Lx4vCwqmpzc3J951RVdX4W1sOZNaR+x+7hx20+b1V18WJdv15lx4618ZrqwfRfg6+qx19O+yMXLtbVq8uPRsM6mEoG0wd/cFDPny8PXLk0m07dY8cameEH8+tNtS9eLAu/eWtSnplhnczwg1ku4B/WkyfVWp0/393cEzzrJfjB9GGfP1+7u3XuXP3wQ+3tVtmxY5265imNQf38cz1/XgcHdXhYH3xQp08PPSBONMFDEJt2A2tt+a/++wFZWB8zPASxQQRBBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9B/gNXumgdfvfeYQAAAABJRU5ErkJggg==", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.<answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "97e8bcc27f7c62b7a1d25bcb1d1b02453576d3167ad29d47e861fd214e26cc36"}