Self-Improving Agents with World Model Predictive Paths

arXiv:2610.28945v1 Announce Type: new Abstract: Large language model (LLM) agents are increasingly expected to interact with environments and improve their decisions during deployment. However, how anticipating future outcomes and drawing on accumulated interaction experience can jointly support dec

arXiv cs.AIDonnerstag 06:00 · 22.10.1 Min. Lesezeit