| license: other | |
| library_name: pytorch | |
| tags: | |
| - robotics | |
| - reinforcement-learning | |
| - rainbow-dqn | |
| - speed-control | |
| - metarobobench | |
| # MetaRoboBench Speed-Control Heads | |
| Offboarding archive of Rainbow DQN, CQL, and candidate-value heads trained for chunk-level Fast/Normal/Slow selection on top of Pi05 checkpoint `21650`. | |
| The primary model is `rainbow/shared_all50_final/models/shared_all50.pt`: | |
| - 50-task shared Rainbow head | |
| - 100,491 decisions and 99,962 updates | |
| - 1,941/2,500 successes = 77.64% | |
| - Fast/Normal/Slow chunk shares = 38.6/32.3/29.1% | |
| - Mean speed switches = about 4.23 per episode | |
| The accelerated shared checkpoint is a distinct earlier checkpoint, not a duplicate. Per-task Rainbow, CQL, and candidate-value models are retained as baselines and negative-result artifacts. | |
| Code reference: | |
| - Repository: https://github.com/MMMM3202/MetaRoboBench | |
| - Branch: `codex/vlm-rainbow-shared-20260821` | |
| - Commit: `5b36567f0c6174ad82a3d4c669134f7b28acc945` | |
| See `MODEL_MANIFEST.md` for the full inventory and result caveats. | |