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Efficient Multi-Agent System Training with Data Influence-Oriented Tree Search

Wentao Shi, Zichun Yu, Fuli Feng, Xiangnan He, Chenyan Xiong · Feb 2, 2025

Citations: 0

Match reason: Matched by broad semantic/index fallback.

Score: 26% Sparse protocol signal Freshness: Cold Status: Ready
Multi Agent General
  • Monte Carlo Tree Search (MCTS) based methods provide promising approaches for generating synthetic data to enhance the self-training of Large Language Model (LLM) based multi-agent systems (MAS).
  • These methods leverage Q-values to estimate individual agent contributions.
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