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act_flip_v1_jitter

v1 expert + v2's trajectory jitter

Jacob's from-scratch ACT (scripts/act.py, scripts/train_act.py in https://github.com/JaHeRoth/robot-learning). Checkpoints uploaded: best = step 20000, final = step 30000. Raw torch.save dicts with model_state, opt_state, stats.

step success 95% CI
5000 0.180 [0.149, 0.216]
10000 0.712 [0.671, 0.750]
20000 0.830 [0.795, 0.860]
30000 0.780 [0.742, 0.814]

500 held-out seeds (800000-800499), n_action_steps 40, horizon 450

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