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Learning New Tasks via Reusable Skills: Skill-Compositional Experts for Embodied Continual Learning
Embodied Continual Learning (ECL) aims to enable robots to continually acquire new manipulation tasks while retaining previously learned behaviors under closed-loop control. In ECL, feature drift can propagate through sequential decision-making under closed-loop control, turning representation chang
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