arXiv cs.CV
· Papers
LLawCo: Learning Laws of Cooperation for Modeling Embodied Multi-Agent Behavior
arXiv:2606.28182v1 Announce Type: cross Abstract: Embodied agents operating in decentralized and partially observable environments have attracted growing attention in recent years. However, existing large language model (LLM)-based agents often exhibit behaviors that are misaligned with their partners or inconsistent w