Instructions to use jaheroth/act_pusht_dec7_bs8_800k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LeRobot
How to use jaheroth/act_pusht_dec7_bs8_800k with LeRobot:
- Notebooks
- Google Colab
- Kaggle
act_pusht_dec7_bs8_800k
Batch-8 equal-sample-budget run (800k steps = 6.4M samples): 159.1 avg_sum_imputed_reward, 60.2% success (n=5000). Matches batch-64 at 100k steps to one decimal.
Part of a 6-week robot-learning training block (https://github.com/JaHeRoth/robot-learning). Evaluated on gym-pusht at n_action_steps=16; avg_sum_imputed_reward imputes 0.95/step to horizon 300 after success.
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