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my_act_pusht_seed1000
PushT, reference recipe, training seed 1000, continued 100k->200k
Jacob's from-scratch ACT (scripts/act.py, scripts/train_act.py in https://github.com/JaHeRoth/robot-learning). Checkpoints uploaded: best = step 100000, final = step 200000. Raw torch.save dicts with model_state, opt_state, stats.
| step | success | 95% CI |
|---|---|---|
| 20000 | 0.223 | [0.211, 0.235] |
| 40000 | 0.457 | [0.443, 0.470] |
| 60000 | 0.513 | [0.499, 0.527] |
| 80000 | 0.570 | [0.556, 0.584] |
| 100000 | 0.621 | [0.608, 0.635] |
| 120000 | 0.591 | [0.578, 0.605] |
| 140000 | 0.621 | [0.608, 0.635] |
| 160000 | 0.609 | [0.596, 0.623] |
| 180000 | 0.620 | [0.606, 0.633] |
| 200000 | 0.606 | [0.593, 0.620] |
5000 held-out episodes (seeds 1000-5999), n_action_steps 16
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