| { | |
| "policy_class": { | |
| ":type:": "<class 'abc.ABCMeta'>", | |
| ":serialized:": "gAWVOwAAAAAAAACMIXN0YWJsZV9iYXNlbGluZXMzLmNvbW1vbi5wb2xpY2llc5SMEUFjdG9yQ3JpdGljUG9saWN5lJOULg==", | |
| "__module__": "stable_baselines3.common.policies", | |
| "__doc__": "\n Policy class for actor-critic algorithms (has both policy and value prediction).\n Used by A2C, PPO and the likes.\n\n :param observation_space: Observation space\n :param action_space: Action space\n :param lr_schedule: Learning rate schedule (could be constant)\n :param net_arch: The specification of the policy and value networks.\n :param activation_fn: Activation function\n :param ortho_init: Whether to use or not orthogonal initialization\n :param use_sde: Whether to use State Dependent Exploration or not\n :param log_std_init: Initial value for the log standard deviation\n :param full_std: Whether to use (n_features x n_actions) parameters\n for the std instead of only (n_features,) when using gSDE\n :param use_expln: Use ``expln()`` function instead of ``exp()`` to ensure\n a positive standard deviation (cf paper). It allows to keep variance\n above zero and prevent it from growing too fast. In practice, ``exp()`` is usually enough.\n :param squash_output: Whether to squash the output using a tanh function,\n this allows to ensure boundaries when using gSDE.\n :param features_extractor_class: Features extractor to use.\n :param features_extractor_kwargs: Keyword arguments\n to pass to the features extractor.\n :param share_features_extractor: If True, the features extractor is shared between the policy and value networks.\n :param normalize_images: Whether to normalize images or not,\n dividing by 255.0 (True by default)\n :param optimizer_class: The optimizer to use,\n ``th.optim.Adam`` by default\n :param optimizer_kwargs: Additional keyword arguments,\n excluding the learning rate, to pass to the optimizer\n ", | |
| "__init__": "<function ActorCriticPolicy.__init__ at 0x7d4df20a2840>", | |
| "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7d4df20a28e0>", | |
| "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7d4df20a2980>", | |
| "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7d4df20a2a20>", | |
| "_build": "<function ActorCriticPolicy._build at 0x7d4df20a2ac0>", | |
| "forward": "<function ActorCriticPolicy.forward at 0x7d4df20a2b60>", | |
| "extract_features": "<function ActorCriticPolicy.extract_features at 0x7d4df20a2c00>", | |
| "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7d4df20a2ca0>", | |
| "_predict": "<function ActorCriticPolicy._predict at 0x7d4df20a2d40>", | |
| "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7d4df20a2de0>", | |
| "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7d4df20a2e80>", | |
| "predict_values": "<function ActorCriticPolicy.predict_values at 0x7d4df20a2f20>", | |
| "__abstractmethods__": "frozenset()", | |
| "_abc_impl": "<_abc._abc_data object at 0x7d4df200ec00>" | |
| }, | |
| "verbose": 1, | |
| "policy_kwargs": {}, | |
| "num_timesteps": 1000448, | |
| "_total_timesteps": 1000000, | |
| "_num_timesteps_at_start": 0, | |
| "seed": null, | |
| "action_noise": null, | |
| "start_time": 1748379632474332634, | |
| "learning_rate": 0.0003, | |
| "tensorboard_log": null, | |
| "_last_obs": { | |
| ":type:": "<class 'numpy.ndarray'>", | |
| ":serialized:": "gAWVlgAAAAAAAACME251bXB5Ll9jb3JlLm51bWVyaWOUjAtfZnJvbWJ1ZmZlcpSTlCiWIAAAAAAAAADAhRG+VOmYP4lokb4yppG+LlMpvrJW+rwAAAAAAAAAAJSMBW51bXB5lIwFZHR5cGWUk5SMAmY0lImIh5RSlChLA4wBPJROTk5K/////0r/////SwB0lGJLAUsIhpSMAUOUdJRSlC4=" | |
| }, | |
| "_last_episode_starts": { | |
| ":type:": "<class 'numpy.ndarray'>", | |
| ":serialized:": "gAWVdQAAAAAAAACME251bXB5Ll9jb3JlLm51bWVyaWOUjAtfZnJvbWJ1ZmZlcpSTlCiWAQAAAAAAAAAAlIwFbnVtcHmUjAVkdHlwZZSTlIwCYjGUiYiHlFKUKEsDjAF8lE5OTkr/////Sv////9LAHSUYksBhZSMAUOUdJRSlC4=" | |
| }, | |
| "_last_original_obs": null, | |
| "_episode_num": 0, | |
| "use_sde": false, | |
| "sde_sample_freq": -1, | |
| "_current_progress_remaining": -0.00044800000000000395, | |
| "_stats_window_size": 100, | |
| "ep_info_buffer": { | |
| ":type:": "<class 'collections.deque'>", | |
| ":serialized:": "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" | |
| }, | |
| "ep_success_buffer": { | |
| ":type:": "<class 'collections.deque'>", | |
| ":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg==" | |
| }, | |
| "_n_updates": 3908, | |
| "observation_space": { | |
| ":type:": "<class 'gymnasium.spaces.box.Box'>", | |
| ":serialized:": "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", | |
| "dtype": "float32", | |
| "bounded_below": "[ True True True True True True True True]", | |
| "bounded_above": "[ True True True True True True True True]", | |
| "_shape": [ | |
| 8 | |
| ], | |
| "low": "[-90. -90. -5. -5. -3.1415927 -5.\n -0. -0. ]", | |
| "high": "[90. 90. 5. 5. 3.1415927 5.\n 1. 1. ]", | |
| "low_repr": "[-90. -90. -5. -5. -3.1415927 -5.\n -0. -0. ]", | |
| "high_repr": "[90. 90. 5. 5. 3.1415927 5.\n 1. 1. ]", | |
| "_np_random": null | |
| }, | |
| "action_space": { | |
| ":type:": "<class 'gymnasium.spaces.discrete.Discrete'>", | |
| ":serialized:": "gAWV3AAAAAAAAACMGWd5bW5hc2l1bS5zcGFjZXMuZGlzY3JldGWUjAhEaXNjcmV0ZZSTlCmBlH2UKIwBbpSMFm51bXB5Ll9jb3JlLm11bHRpYXJyYXmUjAZzY2FsYXKUk5SMBW51bXB5lIwFZHR5cGWUk5SMAmk4lImIh5RSlChLA4wBPJROTk5K/////0r/////SwB0lGJDCAQAAAAAAAAAlIaUUpSMBXN0YXJ0lGgIaA5DCAAAAAAAAAAAlIaUUpSMBl9zaGFwZZQpjAVkdHlwZZRoDowKX25wX3JhbmRvbZROdWIu", | |
| "n": "4", | |
| "start": "0", | |
| "_shape": [], | |
| "dtype": "int64", | |
| "_np_random": null | |
| }, | |
| "n_envs": 1, | |
| "n_steps": 1024, | |
| "gamma": 0.999, | |
| "gae_lambda": 0.98, | |
| "ent_coef": 0.01, | |
| "vf_coef": 0.5, | |
| "max_grad_norm": 0.5, | |
| "batch_size": 64, | |
| "n_epochs": 4, | |
| "clip_range": { | |
| ":type:": "<class 'function'>", | |
| ":serialized:": "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" | |
| }, | |
| "clip_range_vf": null, | |
| "normalize_advantage": true, | |
| "target_kl": null, | |
| "lr_schedule": { | |
| ":type:": "<class 'function'>", | |
| ":serialized:": "gAWV1gIAAAAAAACMF2Nsb3VkcGlja2xlLmNsb3VkcGlja2xllIwOX21ha2VfZnVuY3Rpb26Uk5QoaACMDV9idWlsdGluX3R5cGWUk5SMCENvZGVUeXBllIWUUpQoSwFLAEsASwFLAUsTQwiVAZcAiQFTAJROhZQpjAFflIWUjEkvdXNyL2xvY2FsL2xpYi9weXRob24zLjExL2Rpc3QtcGFja2FnZXMvc3RhYmxlX2Jhc2VsaW5lczMvY29tbW9uL3V0aWxzLnB5lIwEZnVuY5SMGWNvbnN0YW50X2ZuLjxsb2NhbHM+LmZ1bmOUS4RDCPiAANgPEogKlEMAlIwDdmFslIWUKXSUUpR9lCiMC19fcGFja2FnZV9flIwYc3RhYmxlX2Jhc2VsaW5lczMuY29tbW9ulIwIX19uYW1lX1+UjB5zdGFibGVfYmFzZWxpbmVzMy5jb21tb24udXRpbHOUjAhfX2ZpbGVfX5SMSS91c3IvbG9jYWwvbGliL3B5dGhvbjMuMTEvZGlzdC1wYWNrYWdlcy9zdGFibGVfYmFzZWxpbmVzMy9jb21tb24vdXRpbHMucHmUdU5OaACMEF9tYWtlX2VtcHR5X2NlbGyUk5QpUpSFlHSUUpRoAIwSX2Z1bmN0aW9uX3NldHN0YXRllJOUaCF9lH2UKGgYjARmdW5jlIwMX19xdWFsbmFtZV9flIwZY29uc3RhbnRfZm4uPGxvY2Fscz4uZnVuY5SMD19fYW5ub3RhdGlvbnNfX5R9lIwOX19rd2RlZmF1bHRzX1+UTowMX19kZWZhdWx0c19flE6MCl9fbW9kdWxlX1+UaBmMB19fZG9jX1+UTowLX19jbG9zdXJlX1+UaACMCl9tYWtlX2NlbGyUk5RHPzOpKjBVMmGFlFKUhZSMF19jbG91ZHBpY2tsZV9zdWJtb2R1bGVzlF2UjAtfX2dsb2JhbHNfX5R9lHWGlIZSMC4=" | |
| } | |
| } |