Agentic Knowledge-Model Co-Evolution via Consistency Regularization.

arXiv:2610.30790v1 Announce Type: new Abstract: LLM agents can evolve by learning from accumulated experience. Existing approaches extract reusable external knowledge, such as skills and memories, from experience to guide subsequent task solving, with some fur