SkillForge: Evolving Verifiable Skills for Reinforcement Learning Agents
The paper’s core claim is that RL agents need skill banks that can be tested and revised, not just expanded.
SkillForge makes skill use explicit during agent interaction, so reinforcement learning can optimize both actions and when to invoke stored skills. It adds evidence-based verification and multiple routes for inducing new skills, aiming to keep the bank useful as it grows. The authors report gains over SkillRL on ALFWorld, WebShop, and AppWorld. ArXiv · AI/CL/LG's note
SkillForge makes skill use explicit during agent interaction, so reinforcement learning can optimize both actions and when to invoke stored skills. It adds evidence-based verification and multiple routes for inducing new skills, aiming to keep the bank useful as it grows. The authors report gains over SkillRL on ALFWorld, WebShop, and AppWorld. ArXiv · AI/CL/LG's note
score 5