SPREAD: Subspace Representation Distillation for Lifelong Imitation Learning
SPREAD: Subspace Representation Distillation for Lifelong Imitation Learning explores SPREAD is a geometry-preserving framework that uses SVD to align policy representations across tasks, improving knowledge transfer and mitigating catastrophic forgetting in lifelong imitation learning.. Commercial viability score: 7/10 in Lifelong Learning.
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