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Imitation learning's obsession with perfect replay is a dead end; true progress lies in compositional adaptability, enabling agents to recombine learned behaviors in novel contexts without retraining.
Learn goal recognition from imperfect human behavior, and watch accuracy jump by 50% when the demonstrator is systematically biased.
