| # act_flip_v2_base | |
| v2 expert as is, 100 demos, front camera, dense checkpoints | |
| Jacob's from-scratch ACT (scripts/act.py, scripts/train_act.py in https://github.com/JaHeRoth/robot-learning). Checkpoints uploaded: best = step 10000, final = step 30000. Raw `torch.save` dicts with `model_state`, `opt_state`, `stats`. | |
| | step | success | 95% CI | | |
| |---|---|---| | |
| | 5000 | 0.734 | [0.694, 0.771] | | |
| | 10000 | 0.966 | [0.946, 0.979] | | |
| | 30000 | 0.944 | [0.920, 0.961] | | |
| 500 held-out seeds (800000-800499), n_action_steps 40, horizon 450 | |