This repository stores intermediate training artifacts for OAT policy training on RoboMimic Lift (image observations).
1uv run scripts/train.py \
2 --config-name=train_oatpolicy \
3 task/policy=robomimic/lift \
4 training.resume=true \
5 training.checkpoint_path=/workspace/OAT-RoboMimic-Fine-tune/output/20260523/132544_train_oatpolicy_lift_N200/checkpoints/latest.ckpt
If your setup uses a different resume flag/path key, keep the checkpoint file and run with your project's standard resume command.