v0.6.0
LeRobot v0.6.0 makes dataset and training dependencies optional, installed only when needed (e.g., pip install lerobot[training]). The RL stack was rebuilt with a new modular API: the sac policy type is now gaussian_actor. GR00T N1.5 is replaced by N1.7, PyTorch minimum is now 2.7, import paths have been consolidated to canonical public entry points, eval_freq renamed to env_eval_freq, legacy subtask_index annotations replaced by language columns, and video codec configuration split per camera. Also added five new benchmark integrations (RoboCasa365, RoboTwin 2.0, RoboCerebra, RoboMME, LIBERO-plus), 2x faster dataloader via parallel decode, and a new lerobot-rollout CLI to decouple policy deployment from data recording.
