CoMem: Collective-Individual Memory Synergy for Evolutionary Multi-Agent Systems
Designing effective memory mechanisms is crucial for advancing LLM-driven Multi-Agent Systems (MAS), helping agents learn together and perform better over time. While recent work has led to strong cooperation skills, most methods still use flat, unstructured memories, which easily get filled with noise and erase differ...
Cheng-Xin Yu, Zhao-Xin Fan, Fa-Guo Wu et al.
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