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Remove Extreme Parkour and HAIC model bundles

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  1. latency-aware/extreme-parkour-go2/small-policy/ppo-qwengr00t-rtx3090-v1/README.md +0 -20
  2. latency-aware/extreme-parkour-go2/small-policy/ppo-qwengr00t-rtx3090-v1/checkpoint.pt +0 -3
  3. latency-aware/extreme-parkour-go2/small-policy/ppo-qwengr00t-rtx3090-v1/eval_l0.json +0 -44
  4. latency-aware/extreme-parkour-go2/small-policy/ppo-qwengr00t-rtx3090-v1/eval_l0.yaml +0 -12
  5. latency-aware/extreme-parkour-go2/small-policy/ppo-qwengr00t-rtx3090-v1/eval_profile.json +0 -44
  6. latency-aware/extreme-parkour-go2/small-policy/ppo-qwengr00t-rtx3090-v1/eval_profile.yaml +0 -8
  7. latency-aware/extreme-parkour-go2/small-policy/ppo-qwengr00t-rtx3090-v1/provenance.json +0 -34
  8. latency-aware/extreme-parkour-go2/small-policy/ppo-qwengr00t-rtx3090-v1/train.yaml +0 -34
  9. latency-aware/extreme-parkour-go2/small-policy/ppo-qwenoft-rtx3090-v1/README.md +0 -20
  10. latency-aware/extreme-parkour-go2/small-policy/ppo-qwenoft-rtx3090-v1/checkpoint.pt +0 -3
  11. latency-aware/extreme-parkour-go2/small-policy/ppo-qwenoft-rtx3090-v1/eval_l0.json +0 -44
  12. latency-aware/extreme-parkour-go2/small-policy/ppo-qwenoft-rtx3090-v1/eval_l0.yaml +0 -12
  13. latency-aware/extreme-parkour-go2/small-policy/ppo-qwenoft-rtx3090-v1/eval_profile.json +0 -44
  14. latency-aware/extreme-parkour-go2/small-policy/ppo-qwenoft-rtx3090-v1/eval_profile.yaml +0 -8
  15. latency-aware/extreme-parkour-go2/small-policy/ppo-qwenoft-rtx3090-v1/provenance.json +0 -34
  16. latency-aware/extreme-parkour-go2/small-policy/ppo-qwenoft-rtx3090-v1/train.yaml +0 -34
  17. latency-aware/extreme-parkour-go2/small-policy/ppo-qwenpi_v3-rtx3090-v1/README.md +0 -20
  18. latency-aware/extreme-parkour-go2/small-policy/ppo-qwenpi_v3-rtx3090-v1/checkpoint.pt +0 -3
  19. latency-aware/extreme-parkour-go2/small-policy/ppo-qwenpi_v3-rtx3090-v1/eval_l0.json +0 -44
  20. latency-aware/extreme-parkour-go2/small-policy/ppo-qwenpi_v3-rtx3090-v1/eval_l0.yaml +0 -12
  21. latency-aware/extreme-parkour-go2/small-policy/ppo-qwenpi_v3-rtx3090-v1/eval_profile.json +0 -44
  22. latency-aware/extreme-parkour-go2/small-policy/ppo-qwenpi_v3-rtx3090-v1/eval_profile.yaml +0 -8
  23. latency-aware/extreme-parkour-go2/small-policy/ppo-qwenpi_v3-rtx3090-v1/provenance.json +0 -34
  24. latency-aware/extreme-parkour-go2/small-policy/ppo-qwenpi_v3-rtx3090-v1/train.yaml +0 -34
  25. latency-aware/extreme-parkour-go2/vla/starvla-qwenoft-h1/parkour-qwenoft-latency-2xrtx6000pro-20260919/README.md +0 -4
  26. latency-aware/extreme-parkour-go2/vla/starvla-qwenoft-h1/parkour-qwenoft-latency-2xrtx6000pro-20260919/checkpoints/model.pt +0 -3
  27. latency-aware/extreme-parkour-go2/vla/starvla-qwenoft-h1/parkour-qwenoft-latency-2xrtx6000pro-20260919/config.yaml +0 -40
  28. latency-aware/extreme-parkour-go2/vla/starvla-qwenoft-h1/parkour-qwenoft-latency-2xrtx6000pro-20260919/dataset_statistics.json +0 -592
  29. latency-aware/extreme-parkour-go2/vla/starvla-qwenoft-h1/parkour-qwenoft-latency-2xrtx6000pro-20260919/eval_l0.json +0 -0
  30. latency-aware/extreme-parkour-go2/vla/starvla-qwenoft-h1/parkour-qwenoft-latency-2xrtx6000pro-20260919/eval_profile.json +0 -0
  31. latency-aware/extreme-parkour-go2/vla/starvla-qwenoft-h1/parkour-qwenoft-latency-2xrtx6000pro-20260919/provenance.json +0 -189
  32. latency-aware/extreme-parkour-go2/vla/starvla-qwenoft-h1/parkour-qwenoft-latency-2xrtx6000pro-20260919/task_contract.json +0 -673
  33. zero-latency/extreme-parkour-go2/small-policy/ppo-v1/model_14999.pt +0 -3
  34. zero-latency/extreme-parkour-go2/vla/gr00t-action-yaw-flow-aux-v1/config.json +0 -91
  35. zero-latency/extreme-parkour-go2/vla/gr00t-action-yaw-flow-aux-v1/embodiment_id.json +0 -57
  36. zero-latency/extreme-parkour-go2/vla/gr00t-action-yaw-flow-aux-v1/model-00001-of-00002.safetensors +0 -3
  37. zero-latency/extreme-parkour-go2/vla/gr00t-action-yaw-flow-aux-v1/model-00002-of-00002.safetensors +0 -3
  38. zero-latency/extreme-parkour-go2/vla/gr00t-action-yaw-flow-aux-v1/model.safetensors.index.json +0 -0
  39. zero-latency/extreme-parkour-go2/vla/gr00t-action-yaw-flow-aux-v1/processor_config.json +0 -131
  40. zero-latency/extreme-parkour-go2/vla/gr00t-action-yaw-flow-aux-v1/statistics.json +0 -559
  41. zero-latency/extreme-parkour-go2/vla/starvla-qwengr00t-h1/20260912T180303/README.md +0 -4
  42. zero-latency/extreme-parkour-go2/vla/starvla-qwengr00t-h1/20260912T180303/checkpoints/model.pt +0 -3
  43. zero-latency/extreme-parkour-go2/vla/starvla-qwengr00t-h1/20260912T180303/config.yaml +0 -58
  44. zero-latency/extreme-parkour-go2/vla/starvla-qwengr00t-h1/20260912T180303/dataset_statistics.json +0 -592
  45. zero-latency/extreme-parkour-go2/vla/starvla-qwengr00t-h1/20260912T180303/eval_l0.json +0 -0
  46. zero-latency/extreme-parkour-go2/vla/starvla-qwengr00t-h1/20260912T180303/provenance.json +0 -133
  47. zero-latency/extreme-parkour-go2/vla/starvla-qwengr00t-h1/20260912T180303/task_contract.json +0 -673
  48. zero-latency/extreme-parkour-go2/vla/starvla-qwenoft-h1/20260912T072315-nocache32v2/README.md +0 -4
  49. zero-latency/extreme-parkour-go2/vla/starvla-qwenoft-h1/20260912T072315-nocache32v2/checkpoints/model.pt +0 -3
  50. zero-latency/extreme-parkour-go2/vla/starvla-qwenoft-h1/20260912T072315-nocache32v2/config.yaml +0 -40
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1
- # Extreme Parkour Go2 — QwenGR00T latency-aware PPO
2
-
3
- Native command policy trained from scratch with the QwenGR00T RTX 3090 temporal
4
- latency profile. The checkpoint completed 3,000 PPO iterations on one H200.
5
-
6
- Training used 6,144 environments, seed 1, 50 Hz control, 10 Hz decisions,
7
- 24 decisions/environment/iteration, control repeat 5, five PPO epochs, four
8
- minibatches, and fixed learning rate `2e-4`.
9
-
10
- | Evaluation | Episodes | Return mean ± SD | Raw length mean ± SD | Waypoint progress mean ± SD |
11
- |---|---:|---:|---:|---:|
12
- | QwenGR00T temporal profile | 100 | 18.6098 ± 3.5573 | 607.84 ± 85.42 | 0.9814 ± 0.1100 |
13
- | 0 ms latency | 100 | 12.7761 ± 4.3001 | 479.16 ± 121.89 | 0.7900 ± 0.3054 |
14
-
15
- Both evaluations use 256 parallel environments, seed 1, deterministic policy
16
- means, and a 1,500 raw-control-frame episode cap. See `eval_profile.json` and
17
- `eval_l0.json` for complete metrics and latency counts.
18
-
19
- Training run: https://wandb.ai/saberrr-zju/isaaclab-parkour/runs/ce1ykqzc
20
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1
- # Extreme Parkour Go2 — QwenOFT latency-aware PPO
2
-
3
- Native command policy trained from scratch with the QwenOFT RTX 3090 temporal
4
- latency profile. The checkpoint completed 3,000 PPO iterations on one H200.
5
-
6
- Training used 6,144 environments, seed 1, 50 Hz control, 10 Hz decisions,
7
- 24 decisions/environment/iteration, control repeat 5, five PPO epochs, four
8
- minibatches, and fixed learning rate `2e-4`.
9
-
10
- | Evaluation | Episodes | Return mean ± SD | Raw length mean ± SD | Waypoint progress mean ± SD |
11
- |---|---:|---:|---:|---:|
12
- | QwenOFT temporal profile | 100 | 16.2985 ± 5.8936 | 650.84 ± 161.56 | 0.8314 ± 0.2773 |
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- | 0 ms latency | 100 | 16.7771 ± 6.1831 | 663.42 ± 173.64 | 0.8329 ± 0.2872 |
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-
15
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16
- means, and a 1,500 raw-control-frame episode cap. See `eval_profile.json` and
17
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18
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19
- Training run: https://wandb.ai/saberrr-zju/isaaclab-parkour/runs/6ix3w954
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- # Extreme Parkour Go2 — QwenPI v3 latency-aware PPO
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-
3
- Native command policy trained from scratch with the QwenPI v3 RTX 3090 temporal
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- | Evaluation | Episodes | Return mean ± SD | Raw length mean ± SD | Waypoint progress mean ± SD |
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- # qwengr00t — extreme_parkour_go2
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-
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- RGB + continuous state, action horizon 1, VLA 10 Hz.
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- See task_contract.json for normalization, eval_l0.json for zero-latency results, and provenance.json for source references and dataset publication revisions.
 
 
 
 
 
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- name: QwenGR00T
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