Author

Fuxiang Zhang

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#artificial intelligence Feb 2026

Dr. MAS: Stable Reinforcement Learning for Multi-Agent LLM Systems

It is shown that under GRPO-style optimization, a global normalization baseline may deviate from diverse agents'reward distributions, which ultimately leads to gradient-norm instability, which theoretically pinpoints a key reason for training instability when extending group-based RL to multi-agent LLM systems.

Lang Feng, Long-Tao Zheng, Shuo He et al. · arXiv.org · 14 citations · ⚡1

2025

Multi-Agent Imitation by Learning and Sampling from Factorized Soft Q-Function

This work proposes MAFIS, a novel method that addresses limitations for both online and offline MAIL settings by building upon the single-agent IQ-Learn framework and introducing the value decomposition network to factorize the imitation objective at agent level, thus enabling scalable training for multi-agent systems.

Yichen Li, Zhongxiang Ling, Tao Jiang et al. · Neural Information Processin... · 3 citations