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EvolveMAS: A Unified Self-Evolution Framework for Decentralized Multi-Agent Systems
Decentralized multi-agent systems (MAS) enable large language model agents to interact without centralized control. Agents need to adapt to other agents at test time and reuse accumulated experience to refine their interaction strategies for future interactions across cooperative, mixed-motive, and
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