Dynamic Skill Lifecycle Management for Agentic Reinforcement Learning

要約

Large language model agents increasingly rely on external skills to solve complex tasks, where skills act as modular units that extend their capabilities beyond what parametric memory alone supports. Existing methods assume external skills either accumulate as persistent guidance or internalized int…