Qinwei Huang
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2026
MUTE: Return-Preserving Communication Unlearning for Efficient Multi-Agent Coordination
This paper proposes MUTE, a framework for reducing communication in Multi-Agent Reinforcement Learning under bandwidth constraints by unlearning irrelevant messages.
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Papers
cs.MAEmpiricalRecentJul 3, 2026
MUTE: Return-Preserving Communication Unlearning for Efficient Multi-Agent Coordination
Rui Zuo, Qinwei Huang, Mingyang Li, Zhenhang Zhang +2 more
This paper proposes MUTE, a framework for reducing communication in Multi-Agent Reinforcement Learning under bandwidth constraints by unlearning irrelevant messages.
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