AIBullisharXiv – CS AI · May 127/10
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Skill-R1: Agent Skill Evolution via Reinforcement Learning
Skill-R1 introduces a reinforcement learning framework that optimizes reusable natural language procedures (skills) for large language model agents without modifying the underlying model itself. By training a lightweight skill generator that works with frozen LLMs, the approach reduces adaptation costs while maintaining compatibility with both open and closed-source models, demonstrating consistent improvements on complex multi-step tasks.
