SPIN Unprocessed October 16, 2026 ai_technology research
Evolving Together, Failing Apart: The Skill-Policy Co-evolution Trap in Self-Improving Agents
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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 it trained with (the delivered bank). After deployment, however, skills may be rewritten, added or removed more frequently than the policy model is retrained, leaving the policy to operate on a drifted skill bank that ne
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