【第174期】MMOA-RAG：Multi-Agent RL for Enhanced RAG

Seventy3 · Mar 23, 2025 · 12m

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Improving Retrieval-Augmented Generation through Multi-Agent Reinforcement Learning

Summary

The paper introduces MMOA-RAG, a novel approach to improve Retrieval-Augmented Generation (RAG) by framing it as a multi-agent reinforcement learning problem. It addresses the issue of independently optimized RAG components by treating each module (query rewriting, document retrieval, etc.) as an individual agent. MMOA-RAG uses multi-agent reinforcement learning to align each agent's goal with the overarching goal of generating accurate answers…