Layered Haircuts For Fine Straight Hair DecentMem is proposed a decentralized memory framework in which each agent maintains its own dual pool memory an exploitation pool of consolidated past trajectories and an exploration pool of
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DecentMem O log T cumulative regret AgentNet is a novel framework for building decentralized privacy preserving and adaptive multi agent systems MAS powered by large language models LLMs It addresses the limitations of traditional
DecentMem proposes that LLM based multi agent systems should abandon centralized memory repositories in favor of agent private dual pool memory achieving up to 23 8 accuracy Abstract Self evolving multi agent systems MAS have emerged as a promising route to LLM agents that continually improve from experience with persistent memory at their foundation
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Decentralized memory in a multi agent system gives each agent its own persistent local store rather than a shared central repository improvement becomes a federated process where each agent Self evolving multi agent systems MAS have emerged as a promising route to LLM agents that continually improve from experience with persistent memory at their foundation
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https://www.semanticscholar.org › paper › Self...
DecentMem is proposed a decentralized memory framework in which each agent maintains its own dual pool memory an exploitation pool of consolidated past trajectories and an exploration pool of
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