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2026-04-29 05:46:37
2026-04-29 06:53:26
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pusht_ppo_1hz_success_30step_norm4_v0
pusht/easy
{"max_steps":30,"success_threshold":0.9,"init_distribution":"maniskill_like","control_hz":1,"easy_mo(...TRUNCATED)
2,026,042,900
3,026,042,900
0
{"checkpoint_root":"/home/raychai/VisGym_3d/visgym_training/ppo_pusht/runs/pusht_ppo_cpu256_20m_1hz_(...TRUNCATED)
2026-04-29T05:46:37.833545
[{"step":0,"prompt":"You are controlling a 2D PushT environment from a top-down image.\n\nVisual ele(...TRUNCATED)
{"step":29,"reward":13.07671441501978,"terminated":true,"truncated":false,"success":true,"coverage":(...TRUNCATED)
{"agent_position":[157.0,486.4],"agent_velocity":[0.0,0.0],"block_position":[270.3381695851846,391.1(...TRUNCATED)
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{ "strategy": "ppo", "checkpoint": "best_model.pt", "max_total_steps": 30 }
visgym_pusht_ppo_success_30step_parallel_v1
pusht_ppo_1hz_success_30step_norm4_v0
pusht/easy
{"max_steps":30,"success_threshold":0.9,"init_distribution":"maniskill_like","control_hz":1,"easy_mo(...TRUNCATED)
2,026,042,900
3,026,043,156
1
{"checkpoint_root":"/home/raychai/VisGym_3d/visgym_training/ppo_pusht/runs/pusht_ppo_cpu256_20m_1hz_(...TRUNCATED)
2026-04-29T05:46:38.317476
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{"agent_position":[157.0,486.4],"agent_velocity":[0.0,0.0],"block_position":[303.08336139777657,381.(...TRUNCATED)
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{ "strategy": "ppo", "checkpoint": "best_model.pt", "max_total_steps": 30 }
visgym_pusht_ppo_success_30step_parallel_v1
pusht_ppo_1hz_success_30step_norm4_v0
pusht/easy
{"max_steps":30,"success_threshold":0.9,"init_distribution":"maniskill_like","control_hz":1,"easy_mo(...TRUNCATED)
2,026,042,900
3,026,043,412
2
{"checkpoint_root":"/home/raychai/VisGym_3d/visgym_training/ppo_pusht/runs/pusht_ppo_cpu256_20m_1hz_(...TRUNCATED)
2026-04-29T05:46:38.808183
[{"step":0,"prompt":"You are controlling a 2D PushT environment from a top-down image.\n\nVisual ele(...TRUNCATED)
{"step":12,"reward":4.2516382008231925,"terminated":true,"truncated":false,"success":true,"coverage"(...TRUNCATED)
{"agent_position":[157.0,486.4],"agent_velocity":[0.0,0.0],"block_position":[230.04454267950885,369.(...TRUNCATED)
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{ "strategy": "ppo", "checkpoint": "best_model.pt", "max_total_steps": 30 }
visgym_pusht_ppo_success_30step_parallel_v1
pusht_ppo_1hz_success_30step_norm4_v0
pusht/easy
{"max_steps":30,"success_threshold":0.9,"init_distribution":"maniskill_like","control_hz":1,"easy_mo(...TRUNCATED)
2,026,042,900
3,026,043,668
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{"checkpoint_root":"/home/raychai/VisGym_3d/visgym_training/ppo_pusht/runs/pusht_ppo_cpu256_20m_1hz_(...TRUNCATED)
2026-04-29T05:46:39.673122
[{"step":0,"prompt":"You are controlling a 2D PushT environment from a top-down image.\n\nVisual ele(...TRUNCATED)
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{"agent_position":[157.0,486.4],"agent_velocity":[0.0,0.0],"block_position":[228.7353552835218,382.4(...TRUNCATED)
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{ "strategy": "ppo", "checkpoint": "best_model.pt", "max_total_steps": 30 }
visgym_pusht_ppo_success_30step_parallel_v1
pusht_ppo_1hz_success_30step_norm4_v0
pusht/easy
{"max_steps":30,"success_threshold":0.9,"init_distribution":"maniskill_like","control_hz":1,"easy_mo(...TRUNCATED)
2,026,042,900
3,026,043,924
4
{"checkpoint_root":"/home/raychai/VisGym_3d/visgym_training/ppo_pusht/runs/pusht_ppo_cpu256_20m_1hz_(...TRUNCATED)
2026-04-29T05:46:41.660143
[{"step":0,"prompt":"You are controlling a 2D PushT environment from a top-down image.\n\nVisual ele(...TRUNCATED)
{"step":26,"reward":14.45600562619846,"terminated":true,"truncated":false,"success":true,"coverage":(...TRUNCATED)
{"agent_position":[157.0,486.4],"agent_velocity":[0.0,0.0],"block_position":[221.58855516916213,361.(...TRUNCATED)
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{ "strategy": "ppo", "checkpoint": "best_model.pt", "max_total_steps": 30 }
visgym_pusht_ppo_success_30step_parallel_v1
pusht_ppo_1hz_success_30step_norm4_v0
pusht/easy
{"max_steps":30,"success_threshold":0.9,"init_distribution":"maniskill_like","control_hz":1,"easy_mo(...TRUNCATED)
2,026,042,900
3,026,044,180
5
{"checkpoint_root":"/home/raychai/VisGym_3d/visgym_training/ppo_pusht/runs/pusht_ppo_cpu256_20m_1hz_(...TRUNCATED)
2026-04-29T05:46:44.340321
[{"step":0,"prompt":"You are controlling a 2D PushT environment from a top-down image.\n\nVisual ele(...TRUNCATED)
{"step":14,"reward":3.8267549937334433,"terminated":true,"truncated":false,"success":true,"coverage"(...TRUNCATED)
{"agent_position":[157.0,486.4],"agent_velocity":[0.0,0.0],"block_position":[264.2098838585864,393.7(...TRUNCATED)
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{ "strategy": "ppo", "checkpoint": "best_model.pt", "max_total_steps": 30 }
visgym_pusht_ppo_success_30step_parallel_v1
pusht_ppo_1hz_success_30step_norm4_v0
pusht/easy
{"max_steps":30,"success_threshold":0.9,"init_distribution":"maniskill_like","control_hz":1,"easy_mo(...TRUNCATED)
2,026,042,900
3,026,044,436
6
{"checkpoint_root":"/home/raychai/VisGym_3d/visgym_training/ppo_pusht/runs/pusht_ppo_cpu256_20m_1hz_(...TRUNCATED)
2026-04-29T05:46:45.245605
[{"step":0,"prompt":"You are controlling a 2D PushT environment from a top-down image.\n\nVisual ele(...TRUNCATED)
{"step":6,"reward":3.241378256405066,"terminated":true,"truncated":false,"success":true,"coverage":0(...TRUNCATED)
{"agent_position":[157.0,486.4],"agent_velocity":[0.0,0.0],"block_position":[274.71972529158757,373.(...TRUNCATED)
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{ "strategy": "ppo", "checkpoint": "best_model.pt", "max_total_steps": 30 }
visgym_pusht_ppo_success_30step_parallel_v1
pusht_ppo_1hz_success_30step_norm4_v0
pusht/easy
{"max_steps":30,"success_threshold":0.9,"init_distribution":"maniskill_like","control_hz":1,"easy_mo(...TRUNCATED)
2,026,042,900
3,026,044,692
7
{"checkpoint_root":"/home/raychai/VisGym_3d/visgym_training/ppo_pusht/runs/pusht_ppo_cpu256_20m_1hz_(...TRUNCATED)
2026-04-29T05:46:46.030452
[{"step":0,"prompt":"You are controlling a 2D PushT environment from a top-down image.\n\nVisual ele(...TRUNCATED)
{"step":14,"reward":7.473546335466376,"terminated":true,"truncated":false,"success":true,"coverage":(...TRUNCATED)
{"agent_position":[157.0,486.4],"agent_velocity":[0.0,0.0],"block_position":[239.5548490682463,204.2(...TRUNCATED)
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{ "strategy": "ppo", "checkpoint": "best_model.pt", "max_total_steps": 30 }
visgym_pusht_ppo_success_30step_parallel_v1
pusht_ppo_1hz_success_30step_norm4_v0
pusht/easy
{"max_steps":30,"success_threshold":0.9,"init_distribution":"maniskill_like","control_hz":1,"easy_mo(...TRUNCATED)
2,026,042,900
3,026,044,948
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{"checkpoint_root":"/home/raychai/VisGym_3d/visgym_training/ppo_pusht/runs/pusht_ppo_cpu256_20m_1hz_(...TRUNCATED)
2026-04-29T05:46:48.504687
[{"step":0,"prompt":"You are controlling a 2D PushT environment from a top-down image.\n\nVisual ele(...TRUNCATED)
{"step":16,"reward":5.684152512640555,"terminated":true,"truncated":false,"success":true,"coverage":(...TRUNCATED)
{"agent_position":[157.0,486.4],"agent_velocity":[0.0,0.0],"block_position":[235.5643152307198,278.4(...TRUNCATED)
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{ "strategy": "ppo", "checkpoint": "best_model.pt", "max_total_steps": 30 }
visgym_pusht_ppo_success_30step_parallel_v1
pusht_ppo_1hz_success_30step_norm4_v0
pusht/easy
{"max_steps":30,"success_threshold":0.9,"init_distribution":"maniskill_like","control_hz":1,"easy_mo(...TRUNCATED)
2,026,042,900
3,026,045,204
9
{"checkpoint_root":"/home/raychai/VisGym_3d/visgym_training/ppo_pusht/runs/pusht_ppo_cpu256_20m_1hz_(...TRUNCATED)
2026-04-29T05:46:51.761456
[{"step":0,"prompt":"You are controlling a 2D PushT environment from a top-down image.\n\nVisual ele(...TRUNCATED)
{"step":19,"reward":8.621502402043912,"terminated":true,"truncated":false,"success":true,"coverage":(...TRUNCATED)
{"agent_position":[157.0,486.4],"agent_velocity":[0.0,0.0],"block_position":[289.53064432729053,291.(...TRUNCATED)
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{ "strategy": "ppo", "checkpoint": "best_model.pt", "max_total_steps": 30 }
visgym_pusht_ppo_success_30step_parallel_v1
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pusht_96_norm4

96px PushT PPO successful trajectory dataset.

The trajectories are generated by a 1Hz PPO PushT solver with action codec norm4, rendered images in history[*].image, image_prev, and image_next at 96x96 and JPEG quality 85.

Splits

split records format
train 500,000 gzip-compressed JSONL
test 200 gzip-compressed JSONL

Train/test initial states are filtered to be disjoint by init_state_hash; see metadata/.

Coordinates in move actions use normalized [0, 1] coordinates rounded to exactly four decimal places; execution decodes them back to PushT 512x512 physical coordinates. Rendered images are 96px.

Target Hub repo: https://huggingface.co/datasets/novastar112/pusht_96_norm4

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