Preprint
Aug 2026
SkillForge: Evolving Verifiable Skills for Reinforcement Learning Agents
Large language model (LLM) agents are trained with reinforcement learning (RL) for complex decision-making tasks. However, most RL-trained agents remain episodic and cannot accumulate reusable knowledge across episodes. Recent skill-based approaches, such as SkillRL, attempt to address this issue by extracting skills f...
Shidong Yang, Ziyu Ma, Tongwen Huang et al.
· 3 citations