Reinforcement Learning for Self-Improving Agent with Skill Library Large Language Model (LLM)-based agents have demonstrated remarkable capabilities in complex reasoning and multi-turn interactions but struggle to continuously improve and adapt when deployed in new…

SAGE: an RL framework that teaches LLM agents to create & reuse executable skills via Sequential Rollout + Skill-integrated Reward. On AppWorld it boosts SGC and slashes tokens vs GRPO. Paper: arxiv.org/abs/2512.17102 #ReinforcementLearning #LLMAgents #SkillLibrary