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Open access Aug 2026

Multi-Agent Reinforcement Learning via Agent-Specific Preference

This paper introduces Multi-AGent Preference-Integrated lEarning (MAGPIE), a framework that leverages agent-specific preference signals in the multi-agent learning process and can derive Nash equilibrium solutions.

Ni Mu, Yao Luan, Yiqin Yang et al. · 0 citations