task stringclasses 4
values | env_id stringclasses 1
value | env_kwargs dict | seed int64 7.03B 7.03B | episode_seed int64 7.03B 7.03B | episode int64 1 119 | extra_state dict | timestamp stringdate 2026-08-10 06:27:13 2026-08-10 06:28:56 | history listlengths 10 30 | stats dict | init_state dict | init_state_hash stringlengths 64 64 | solve_kwargs dict | version stringclasses 1
value | eval_corner stringclasses 4
values | source_global_index null | global_index int64 0 99 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
pusht_ood_mid_BL | pusht/easy | {
"max_steps": 30,
"success_threshold": 0.9,
"init_distribution": "maniskill_like",
"control_hz": 1,
"action_codec": "norm4",
"delta_action_scale": 64,
"easy_mode": false,
"observation_width": 96,
"observation_height": 96,
"visualization_width": 96,
"visualization_height": 96,
"action_marker_mod... | 7,026,200,005 | 7,026,200,005 | 4 | {
"checkpoint_root": "/storage/home/gejiaxin/unified_world_model/models/pusht_ppo_novastar112/solver_ckpt",
"checkpoint_path": "/storage/home/gejiaxin/unified_world_model/models/pusht_ppo_novastar112/solver_ckpt/best_model.pt",
"observation_kind": "pusht_ppo_lowdim",
"action_control": "delta",
"action_codec":... | 2026-08-10T06:28:21.739623 | [
{
"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": 10.489223467445491,
"terminated": true,
"truncated": false,
"success": true,
"coverage": 0.9210254946420963
} | {
"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": -0.8120217890439121,
"block_angvel": 0,
"goal_pose": [
256,
256,
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... | 039d8156a96b2a54e76f7b21bd33c0a72886b7a2f1e0901299d73f1fc15fe92a | {
"strategy": "ppo",
"checkpoint": "best_model.pt",
"max_total_steps": 30
} | visgym_pusht_ppo_success_30step_parallel_v1 | BL | null | 0 |
pusht_ood_mid_BL | pusht/easy | {"max_steps":30,"success_threshold":0.9,"init_distribution":"maniskill_like","control_hz":1,"action_(...TRUNCATED) | 7,026,200,033 | 7,026,200,033 | 60 | {"checkpoint_root":"/storage/home/gejiaxin/unified_world_model/models/pusht_ppo_novastar112/solver_c(...TRUNCATED) | 2026-08-10T06:28:22.516241 | [{"step":0,"prompt":"You are controlling a 2D PushT environment from a top-down image.\n\nVisual ele(...TRUNCATED) | {"step":25,"reward":8.966958678281463,"terminated":true,"truncated":false,"success":true,"coverage":(...TRUNCATED) | {"agent_position":[157.0,486.4],"agent_velocity":[0.0,0.0],"block_position":[152.76596666483027,359.(...TRUNCATED) | 12fd89d663a1b598c8d3ada90eb6df49de2f308aa38cf93b2dc773e281b898d8 | {
"strategy": "ppo",
"checkpoint": "best_model.pt",
"max_total_steps": 30
} | visgym_pusht_ppo_success_30step_parallel_v1 | BL | null | 1 |
pusht_ood_mid_BL | pusht/easy | {"max_steps":30,"success_threshold":0.9,"init_distribution":"maniskill_like","control_hz":1,"action_(...TRUNCATED) | 7,026,200,284 | 7,026,200,284 | 22 | {"checkpoint_root":"/storage/home/gejiaxin/unified_world_model/models/pusht_ppo_novastar112/solver_c(...TRUNCATED) | 2026-08-10T06:28:23.217890 | [{"step":0,"prompt":"You are controlling a 2D PushT environment from a top-down image.\n\nVisual ele(...TRUNCATED) | {"step":15,"reward":10.72483464268859,"terminated":true,"truncated":false,"success":true,"coverage":(...TRUNCATED) | {"agent_position":[157.0,486.4],"agent_velocity":[0.0,0.0],"block_position":[143.1857943618167,361.9(...TRUNCATED) | 1bb0da240c96e1a8c2bb9710fd0dcbef98bb9de1790a0106c002ab8636af3108 | {
"strategy": "ppo",
"checkpoint": "best_model.pt",
"max_total_steps": 30
} | visgym_pusht_ppo_success_30step_parallel_v1 | BL | null | 2 |
pusht_ood_mid_BL | pusht/easy | {"max_steps":30,"success_threshold":0.9,"init_distribution":"maniskill_like","control_hz":1,"action_(...TRUNCATED) | 7,026,200,379 | 7,026,200,379 | 33 | {"checkpoint_root":"/storage/home/gejiaxin/unified_world_model/models/pusht_ppo_novastar112/solver_c(...TRUNCATED) | 2026-08-10T06:28:23.187814 | [{"step":0,"prompt":"You are controlling a 2D PushT environment from a top-down image.\n\nVisual ele(...TRUNCATED) | {"step":15,"reward":5.058263465266414,"terminated":true,"truncated":false,"success":true,"coverage":(...TRUNCATED) | {"agent_position":[157.0,486.4],"agent_velocity":[0.0,0.0],"block_position":[109.67573962773609,403.(...TRUNCATED) | 1e7dc94c73bddff3b15482a7ef36f4efa55040cdbebcf23a422695a930c9ca62 | {
"strategy": "ppo",
"checkpoint": "best_model.pt",
"max_total_steps": 30
} | visgym_pusht_ppo_success_30step_parallel_v1 | BL | null | 3 |
pusht_ood_mid_BL | pusht/easy | {"max_steps":30,"success_threshold":0.9,"init_distribution":"maniskill_like","control_hz":1,"action_(...TRUNCATED) | 7,026,200,324 | 7,026,200,324 | 81 | {"checkpoint_root":"/storage/home/gejiaxin/unified_world_model/models/pusht_ppo_novastar112/solver_c(...TRUNCATED) | 2026-08-10T06:28:23.440341 | [{"step":0,"prompt":"You are controlling a 2D PushT environment from a top-down image.\n\nVisual ele(...TRUNCATED) | {"step":29,"reward":19.17677072024832,"terminated":true,"truncated":false,"success":true,"coverage":(...TRUNCATED) | {"agent_position":[157.0,486.4],"agent_velocity":[0.0,0.0],"block_position":[131.515910029177,363.45(...TRUNCATED) | 21b70121261f779fdb9d4bbf8da3c2a2d4cbf6c65b7d342ce4d32a8a71e7b18e | {
"strategy": "ppo",
"checkpoint": "best_model.pt",
"max_total_steps": 30
} | visgym_pusht_ppo_success_30step_parallel_v1 | BL | null | 4 |
pusht_ood_mid_BL | pusht/easy | {"max_steps":30,"success_threshold":0.9,"init_distribution":"maniskill_like","control_hz":1,"action_(...TRUNCATED) | 7,026,200,200 | 7,026,200,200 | 34 | {"checkpoint_root":"/storage/home/gejiaxin/unified_world_model/models/pusht_ppo_novastar112/solver_c(...TRUNCATED) | 2026-08-10T06:28:23.014395 | [{"step":0,"prompt":"You are controlling a 2D PushT environment from a top-down image.\n\nVisual ele(...TRUNCATED) | {"step":28,"reward":9.509182896347987,"terminated":true,"truncated":false,"success":true,"coverage":(...TRUNCATED) | {"agent_position":[157.0,486.4],"agent_velocity":[0.0,0.0],"block_position":[153.90074583391348,377.(...TRUNCATED) | 693644c54f22519039520c3c8ffd8b41db28c364bec1e85f70c264df17899ca3 | {
"strategy": "ppo",
"checkpoint": "best_model.pt",
"max_total_steps": 30
} | visgym_pusht_ppo_success_30step_parallel_v1 | BL | null | 5 |
pusht_ood_mid_BL | pusht/easy | {"max_steps":30,"success_threshold":0.9,"init_distribution":"maniskill_like","control_hz":1,"action_(...TRUNCATED) | 7,026,200,360 | 7,026,200,360 | 117 | {"checkpoint_root":"/storage/home/gejiaxin/unified_world_model/models/pusht_ppo_novastar112/solver_c(...TRUNCATED) | 2026-08-10T06:28:23.353584 | [{"step":0,"prompt":"You are controlling a 2D PushT environment from a top-down image.\n\nVisual ele(...TRUNCATED) | {"step":27,"reward":16.697688533281294,"terminated":true,"truncated":false,"success":true,"coverage"(...TRUNCATED) | {"agent_position":[157.0,486.4],"agent_velocity":[0.0,0.0],"block_position":[124.17133050552505,396.(...TRUNCATED) | 7650c802e074fd86e076de449c94bb7be58dbc29d41642076868adada4fef009 | {
"strategy": "ppo",
"checkpoint": "best_model.pt",
"max_total_steps": 30
} | visgym_pusht_ppo_success_30step_parallel_v1 | BL | null | 6 |
pusht_ood_mid_BL | pusht/easy | {"max_steps":30,"success_threshold":0.9,"init_distribution":"maniskill_like","control_hz":1,"action_(...TRUNCATED) | 7,026,200,295 | 7,026,200,295 | 45 | {"checkpoint_root":"/storage/home/gejiaxin/unified_world_model/models/pusht_ppo_novastar112/solver_c(...TRUNCATED) | 2026-08-10T06:28:23.370489 | [{"step":0,"prompt":"You are controlling a 2D PushT environment from a top-down image.\n\nVisual ele(...TRUNCATED) | {"step":27,"reward":6.941295134824639,"terminated":true,"truncated":false,"success":true,"coverage":(...TRUNCATED) | {"agent_position":[157.0,486.4],"agent_velocity":[0.0,0.0],"block_position":[131.50405641269484,404.(...TRUNCATED) | 8531a7641f190ae415fb934c84a270301c8828a552f5aed4320b084ba7a6f7fb | {
"strategy": "ppo",
"checkpoint": "best_model.pt",
"max_total_steps": 30
} | visgym_pusht_ppo_success_30step_parallel_v1 | BL | null | 7 |
pusht_ood_mid_BL | pusht/easy | {"max_steps":30,"success_threshold":0.9,"init_distribution":"maniskill_like","control_hz":1,"action_(...TRUNCATED) | 7,026,200,075 | 7,026,200,075 | 102 | {"checkpoint_root":"/storage/home/gejiaxin/unified_world_model/models/pusht_ppo_novastar112/solver_c(...TRUNCATED) | 2026-08-10T06:28:22.233401 | [{"step":0,"prompt":"You are controlling a 2D PushT environment from a top-down image.\n\nVisual ele(...TRUNCATED) | {"step":15,"reward":10.202416327280208,"terminated":true,"truncated":false,"success":true,"coverage"(...TRUNCATED) | {"agent_position":[157.0,486.4],"agent_velocity":[0.0,0.0],"block_position":[144.43280130121576,404.(...TRUNCATED) | 8690861532099e83d9a119cae506d99389f965124790a013107dc35723fbba00 | {
"strategy": "ppo",
"checkpoint": "best_model.pt",
"max_total_steps": 30
} | visgym_pusht_ppo_success_30step_parallel_v1 | BL | null | 8 |
pusht_ood_mid_BL | pusht/easy | {"max_steps":30,"success_threshold":0.9,"init_distribution":"maniskill_like","control_hz":1,"action_(...TRUNCATED) | 7,026,200,088 | 7,026,200,088 | 115 | {"checkpoint_root":"/storage/home/gejiaxin/unified_world_model/models/pusht_ppo_novastar112/solver_c(...TRUNCATED) | 2026-08-10T06:28:22.502830 | [{"step":0,"prompt":"You are controlling a 2D PushT environment from a top-down image.\n\nVisual ele(...TRUNCATED) | {"step":25,"reward":9.574240993496076,"terminated":true,"truncated":false,"success":true,"coverage":(...TRUNCATED) | {"agent_position":[157.0,486.4],"agent_velocity":[0.0,0.0],"block_position":[154.65878078656294,357.(...TRUNCATED) | 8cf8a9444855cc47c5670a30ad9881980b30b593aa2a2bce9f1d3fc29dce639c | {
"strategy": "ppo",
"checkpoint": "best_model.pt",
"max_total_steps": 30
} | visgym_pusht_ppo_success_30step_parallel_v1 | BL | null | 9 |
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PushT Mid — balanced 100
This is the exact 100-episode PushT evaluation file used by the final UWM trajectories.
- Split:
mid - Definition: Mid-distance diagnostic set whose spatial support overlaps training.
- Records: 100 with 100 unique episode seeds
- Exact compressed JSONL SHA-256:
ba6007318cdf55e69e57cb09680c3d5e2bbd2950eb8cda1cdde0c13815a0e33b - Trajectories: https://huggingface.co/datasets/novastar111/uwm_paper_eval_trajectories/tree/main/table1/pusht/mid
manifest.json records every episode seed and per-record SHA-256.
- Downloads last month
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