Bernie Wang
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126
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2026
ReSkill: Reconciling Skill Creation with Policy Optimization in Agentic RL
ReSkill is an RL-in-the-loop framework that reconciles skill creation and policy optimization by automatically creating, testing, and refining modular skills alongside the agent's policy learning, leading to superior generalization.
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Papers
cs.AIcs.LGstat.MLRecentJun 1, 2026
ReSkill: Reconciling Skill Creation with Policy Optimization in Agentic RL
Zelin He, Haotian Lin, Boran Han, Wei Zhu +5 more
ReSkill is an RL-in-the-loop framework that reconciles skill creation and policy optimization by automatically creating, testing, and refining modular skills alongside the agent's policy learning, lea…
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