Learning from Play

Imitation learning from unstructured play data — teleoperated robot exploration where the human interacts with the environment without following a specific task. Play data is cheap to collect (no task specification needed) and diverse. PLAY-LMP and other LfP algorithms extract reusable skill libraries from play datasets, enabling goal-conditioned downstream task learning.