ReSkill: Reconciling Skill Creation with Policy Optimization in Agentic RL

Zelin He, Haotian Lin, Boran Han +6

Agentic reinforcement learning (RL) enables LLM agents to improve continuously from environment rewards, yet the resulting policies do not systematically accumulate reusable strate…