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arXiv — cs.AI

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Evolving Together, Failing Apart: The Skill-Policy Co-evolution Trap in Self-Improving Agents

arXiv:2610.20845v1 Announce Type: new Abstract: Skill-policy co-evolution, in which an agent's policy model and its skill bank improve each other during training, is a promising paradigm for self-improving agents. Current evaluations score the co-evolved policy on the final bank…

arXiv — cs.AIBy: Yujie Feng, Xiaobin Wang, Jinluan Yang, Xiaonan Shi, Pengjun Xie, Philip S. Yu, Xiaoming Wu, Jieping YeOctober 16, 2026 (Oct 16)
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  • arXiv:2610.20845v1 Announce Type: new Abstract: Skill-policy co-evolution, in which an agent's policy model and its skill bank improve each other during training, is a promising paradigm for self-improving agents
  • Current evaluations score the co-evolved policy on the final bank…
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Evolving Together, Failing Apart: The Skill-Policy Co-evolution Trap in Self-Improving Agents

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