task stringclasses 1
value | env_id stringclasses 1
value | env_kwargs dict | seed int64 2.03B 2.03B | episode_seed int64 3.03B 3.03B | episode int64 0 26.5k | extra_state dict | timestamp stringdate 2026-04-29 03:16:55 2026-04-29 04:01:28 | history listlengths 2 30 | stats dict | init_state dict | init_state_hash stringlengths 64 64 | solve_kwargs dict | version stringclasses 1
value |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
pusht_ppo_1hz_success_30step_int1_v0 | pusht/easy | {
"max_steps": 30,
"success_threshold": 0.9,
"init_distribution": "maniskill_like",
"control_hz": 1,
"easy_mode": false,
"observation_width": 96,
"observation_height": 96,
"visualization_width": 96,
"visualization_height": 96,
"action_codec": "int1"
} | 2,026,042,900 | 3,026,043,412 | 0 | {
"checkpoint_root": "/home/raychai/VisGym_3d/visgym_training/ppo_pusht/runs/pusht_ppo_cpu256_20m_1hz_msinit_delta64_int1_20260429",
"checkpoint_path": "/home/raychai/VisGym_3d/visgym_training/ppo_pusht/runs/pusht_ppo_cpu256_20m_1hz_msinit_delta64_int1_20260429/best_model.pt",
"observation_kind": "pusht_ppo_lowdi... | 2026-04-29T03:16:57.344033 | [
{
"step": 0,
"prompt": "You are controlling a 2D PushT environment from a top-down image.\n\nVisual elements:\n- The blue circle is the controllable pusher/agent. It moves through the plane and physically pushes the object.\n- The gray T-shaped block is the object that must be moved.\n- The green T-shaped o... | {
"step": 16,
"reward": 9.708927418137318,
"terminated": true,
"truncated": false,
"success": true,
"coverage": 0.9113847919479146
} | {
"agent_position": [
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"agent_velocity": [
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],
"block_position": [
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],
"block_velocity": [
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],
"block_angle": -2.985943693390297,
"block_angvel": 0,
"goal_pose": [
256,
256,
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... | 9fa56def03a80947359b68a5d39dd7a498a8802006de565e340965f9706da463 | {
"strategy": "ppo",
"checkpoint": "best_model.pt",
"max_total_steps": 30
} | visgym_pusht_ppo_success_30step_parallel_v1 |
pusht_ppo_1hz_success_30step_int1_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 | 1 | {"checkpoint_root":"/home/raychai/VisGym_3d/visgym_training/ppo_pusht/runs/pusht_ppo_cpu256_20m_1hz_(...TRUNCATED) | 2026-04-29T03:16:58.855849 | [{"step":0,"prompt":"You are controlling a 2D PushT environment from a top-down image.\n\nVisual ele(...TRUNCATED) | {"step":23,"reward":12.01423327580001,"terminated":true,"truncated":false,"success":true,"coverage":(...TRUNCATED) | {"agent_position":[157.0,486.4],"agent_velocity":[0.0,0.0],"block_position":[228.7353552835218,382.4(...TRUNCATED) | 54800a6e96f0bcf6608f08fc7580604741bba93e7dfbbb4f93be7e2f79da7a65 | {
"strategy": "ppo",
"checkpoint": "best_model.pt",
"max_total_steps": 30
} | visgym_pusht_ppo_success_30step_parallel_v1 |
pusht_ppo_1hz_success_30step_int1_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 | 2 | {"checkpoint_root":"/home/raychai/VisGym_3d/visgym_training/ppo_pusht/runs/pusht_ppo_cpu256_20m_1hz_(...TRUNCATED) | 2026-04-29T03:16:59.864456 | [{"step":0,"prompt":"You are controlling a 2D PushT environment from a top-down image.\n\nVisual ele(...TRUNCATED) | {"step":17,"reward":8.852440149656346,"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) | 10dcc2a57efd0b9dc0ad1213e6aff4dc43cf19c3d036c927f425653858bc1ca8 | {
"strategy": "ppo",
"checkpoint": "best_model.pt",
"max_total_steps": 30
} | visgym_pusht_ppo_success_30step_parallel_v1 |
pusht_ppo_1hz_success_30step_int1_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 | 3 | {"checkpoint_root":"/home/raychai/VisGym_3d/visgym_training/ppo_pusht/runs/pusht_ppo_cpu256_20m_1hz_(...TRUNCATED) | 2026-04-29T03:17:01.203495 | [{"step":0,"prompt":"You are controlling a 2D PushT environment from a top-down image.\n\nVisual ele(...TRUNCATED) | {"step":22,"reward":10.248442843195289,"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) | b029ba4a683a2c9e51f9345f12a600dd3ed1e8dc2da5e8180c51c7c725ad8e7a | {
"strategy": "ppo",
"checkpoint": "best_model.pt",
"max_total_steps": 30
} | visgym_pusht_ppo_success_30step_parallel_v1 |
pusht_ppo_1hz_success_30step_int1_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 | 4 | {"checkpoint_root":"/home/raychai/VisGym_3d/visgym_training/ppo_pusht/runs/pusht_ppo_cpu256_20m_1hz_(...TRUNCATED) | 2026-04-29T03:17:03.207869 | [{"step":0,"prompt":"You are controlling a 2D PushT environment from a top-down image.\n\nVisual ele(...TRUNCATED) | {"step":24,"reward":13.507053643408286,"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) | 5c5351e5fddef01dd07970ac37b808fd7755978cc6103b85334aa01ab674dd0d | {
"strategy": "ppo",
"checkpoint": "best_model.pt",
"max_total_steps": 30
} | visgym_pusht_ppo_success_30step_parallel_v1 |
pusht_ppo_1hz_success_30step_int1_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 | 5 | {"checkpoint_root":"/home/raychai/VisGym_3d/visgym_training/ppo_pusht/runs/pusht_ppo_cpu256_20m_1hz_(...TRUNCATED) | 2026-04-29T03:17:04.327936 | [{"step":0,"prompt":"You are controlling a 2D PushT environment from a top-down image.\n\nVisual ele(...TRUNCATED) | {"step":29,"reward":22.632035450813426,"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) | c93ba3488c38b71419d57b222feaeaef5f7a6cd6ed25052f856735619adb383b | {
"strategy": "ppo",
"checkpoint": "best_model.pt",
"max_total_steps": 30
} | visgym_pusht_ppo_success_30step_parallel_v1 |
pusht_ppo_1hz_success_30step_int1_v0 | pusht/easy | {"max_steps":30,"success_threshold":0.9,"init_distribution":"maniskill_like","control_hz":1,"easy_mo(...TRUNCATED) | 2,026,042,900 | 3,026,045,460 | 6 | {"checkpoint_root":"/home/raychai/VisGym_3d/visgym_training/ppo_pusht/runs/pusht_ppo_cpu256_20m_1hz_(...TRUNCATED) | 2026-04-29T03:17:05.184623 | [{"step":0,"prompt":"You are controlling a 2D PushT environment from a top-down image.\n\nVisual ele(...TRUNCATED) | {"step":21,"reward":13.475659197673782,"terminated":true,"truncated":false,"success":true,"coverage"(...TRUNCATED) | {"agent_position":[157.0,486.4],"agent_velocity":[0.0,0.0],"block_position":[234.11465485523456,340.(...TRUNCATED) | 4859bb2ec0464694dff1a6f01bffff6606c731e3adc46392e4e31cfd317785ad | {
"strategy": "ppo",
"checkpoint": "best_model.pt",
"max_total_steps": 30
} | visgym_pusht_ppo_success_30step_parallel_v1 |
pusht_ppo_1hz_success_30step_int1_v0 | pusht/easy | {"max_steps":30,"success_threshold":0.9,"init_distribution":"maniskill_like","control_hz":1,"easy_mo(...TRUNCATED) | 2,026,042,900 | 3,026,046,228 | 7 | {"checkpoint_root":"/home/raychai/VisGym_3d/visgym_training/ppo_pusht/runs/pusht_ppo_cpu256_20m_1hz_(...TRUNCATED) | 2026-04-29T03:17:06.631073 | [{"step":0,"prompt":"You are controlling a 2D PushT environment from a top-down image.\n\nVisual ele(...TRUNCATED) | {"step":13,"reward":8.260947933633702,"terminated":true,"truncated":false,"success":true,"coverage":(...TRUNCATED) | {"agent_position":[157.0,486.4],"agent_velocity":[0.0,0.0],"block_position":[308.8823488273227,289.9(...TRUNCATED) | 998bd316373433aa9de1667fc1a28765dcca14e8d52b4b83ced5aa6d012f4f79 | {
"strategy": "ppo",
"checkpoint": "best_model.pt",
"max_total_steps": 30
} | visgym_pusht_ppo_success_30step_parallel_v1 |
pusht_ppo_1hz_success_30step_int1_v0 | pusht/easy | {"max_steps":30,"success_threshold":0.9,"init_distribution":"maniskill_like","control_hz":1,"easy_mo(...TRUNCATED) | 2,026,042,900 | 3,026,046,484 | 8 | {"checkpoint_root":"/home/raychai/VisGym_3d/visgym_training/ppo_pusht/runs/pusht_ppo_cpu256_20m_1hz_(...TRUNCATED) | 2026-04-29T03:17:06.995871 | [{"step":0,"prompt":"You are controlling a 2D PushT environment from a top-down image.\n\nVisual ele(...TRUNCATED) | {"step":9,"reward":4.533339104900135,"terminated":true,"truncated":false,"success":true,"coverage":0(...TRUNCATED) | {"agent_position":[157.0,486.4],"agent_velocity":[0.0,0.0],"block_position":[316.6200790390582,362.8(...TRUNCATED) | 6a49f02352c8b582f9eef1baaa6f4f4e507bc99d507b9cce1e5a231dd7f174c0 | {
"strategy": "ppo",
"checkpoint": "best_model.pt",
"max_total_steps": 30
} | visgym_pusht_ppo_success_30step_parallel_v1 |
pusht_ppo_1hz_success_30step_int1_v0 | pusht/easy | {"max_steps":30,"success_threshold":0.9,"init_distribution":"maniskill_like","control_hz":1,"easy_mo(...TRUNCATED) | 2,026,042,900 | 3,026,046,740 | 9 | {"checkpoint_root":"/home/raychai/VisGym_3d/visgym_training/ppo_pusht/runs/pusht_ppo_cpu256_20m_1hz_(...TRUNCATED) | 2026-04-29T03:17:07.532289 | [{"step":0,"prompt":"You are controlling a 2D PushT environment from a top-down image.\n\nVisual ele(...TRUNCATED) | {"step":14,"reward":9.782623961240894,"terminated":true,"truncated":false,"success":true,"coverage":(...TRUNCATED) | {"agent_position":[157.0,486.4],"agent_velocity":[0.0,0.0],"block_position":[275.2918797175913,320.2(...TRUNCATED) | 78fe7d285bc35fc5a065add965b1b7cd2a0bef5541226134a5166a5ab790f3d5 | {
"strategy": "ppo",
"checkpoint": "best_model.pt",
"max_total_steps": 30
} | visgym_pusht_ppo_success_30step_parallel_v1 |
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pusht_96_int1
96px PushT PPO successful trajectory dataset.
The trajectories are generated by a 1Hz PPO PushT solver with action codec int1, 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 PushT 512x512 physical coordinates rounded to exactly one decimal place. Rendered images are 96px.
Target Hub repo: https://huggingface.co/datasets/novastar112/pusht_96_int1
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