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Belief-Conditioned Multi-Agent Actor Critic for Decentralized LLM Collaboration
Recent work has explored optimizing LLM collaboration through Multi-Agent Reinforcement Learning (MARL), but many approaches still rely on predefined workflows, limiting efficiency and scalability. Decentralized LLM collaboration is challenging because agents execute independently with limited commu
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