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

Feng, Yujie et al.
arXiv (All) · Papers
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artificial-intelligencecomputation-and-language
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 it trained with (the delivered bank). After deployment, however, ski
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