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act_flip_v1_base
v1 (old) expert, 100 demos (seeds 0-99), front camera
Jacob's from-scratch ACT (scripts/act.py, scripts/train_act.py in https://github.com/JaHeRoth/robot-learning). Checkpoints uploaded: best = step 30000, final = step 30000. Raw torch.save dicts with model_state, opt_state, stats.
| step | success | 95% CI |
|---|---|---|
| 2500 | 0.012 | [0.006, 0.026] |
| 5000 | 0.010 | [0.004, 0.023] |
| 7500 | 0.368 | [0.327, 0.411] |
| 10000 | 0.528 | [0.484, 0.571] |
| 20000 | 0.860 | [0.827, 0.888] |
| 30000 | 0.868 | [0.836, 0.895] |
500 held-out seeds (800000-800499), n_action_steps 40, horizon 450
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