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Dynamic Mixture of Progressive Parameter-Efficient Expert Library for Lifelong Robot Learning

  • Researchers propose Dynamic Mixture of Progressive Parameter-Efficient Expert Library (DMPEL) for lifelong robot learning.
  • DMPEL utilizes a low-rank expert library and a lightweight router to combine experts dynamically for flexible behavior in lifelong adaptation.
  • Coefficient replay is introduced to guide the router in accurately retrieving frozen experts, reducing catastrophic forgetting.
  • Extensive experiments show that DMPEL outperforms existing methods in lifelong learning success rates with minimal trainable parameters and storage.

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