SkillForge: Evolving Verifiable Skills for Reinforcement Learning Agents

TL;DR - SkillForge is a reinforcement-learning framework that lets LLM agents accumulate reusable skills while continuously verifying and refining them through environment interaction. It improves over append-only skill banks by maintaining skill quality as agents learn across episodes.

• Makes skill invocation explicit so RL jointly optimizes environment actions and decisions about when to use skills.
• Uses interaction evidence to verify and refine stored skills rather than assuming they remain effective.
• Supports multiple skill-induction pathways, enabling the skill bank to grow while controlling quality.
• Consistently outperforms SkillRL in experiments on ALFWorld, WebShop, and AppWorld.