Yewei Zhou

From Traits to Roles: Consensus-Guided Composition of Orthogonal Experts for Cooperative MARL

Parameter sharing is a central design choice in cooperative multi-agent reinforcement learning, yet it fundamentally conflicts with the need for role specialization in heterogeneous cooperative environments. Existing role-based methods typically learn monolithic role representations, which often suf