Rui Zuo
1 indexed paper
Recent (6 mo)
1With code
0Influential cites
0Benchmarked
0Publications per year
126
Top categories
Multiagent×1
Frequent co-authors
Research Timeline
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.
Highlighted terms show continued research focus across papers
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.
View →