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 it trained with (the delivered bank). After deployment, however, skills may be rewritten, added or removed more…
Read original article on cs.AI updates on arXiv.org →More in Research