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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.