Learning Decentralized LLM Collaboration with Multi-Agent Actor Critic 事件

Learning Decentralized LLM Collaboration with Multi-Agent Actor Critic arXiv:2601.21972v5 Announce Type: replace Abstract: Recent work has explored optimizing LLM collaboration through Multi-Agent Reinforcement Learning (MARL). However, most MARL fine-tuning approaches rely on predefined execution protocols, which often require centralized execution. Decentralized LLM collaboration is more appealing in practice, as agents can run inference in parallel with flexible deployments. Also, current ap