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cs.MA2026
MUTE: Return-Preserving Communication Unlearning for Efficient Multi-Agent Coordination
Rui Zuo, Qinwei Huang, Mingyang Li +3
Inter-agent communication is critical for coordinating Multi-Agent Reinforcement Learning (MARL) agents under partial observability to perform effectively in cooperative games; how…
cs.MA2025
Predictive Auxiliary Learning for Belief-based Multi-Agent Systems
Qinwei Huang, Stefan Wang, Simon Khan +2
The performance of multi-agent reinforcement learning (MARL) in partially observable environments depends on effectively aggregating information from observations, communications,…
cs.MA2024
Multi-agent Cooperative Games Using Belief Map Assisted Training
Qinwei Huang, Chen Luo, Alex B. Wu +3
In a multi-agent system, agents share their local observations to gain global situational awareness for decision making and collaboration using a message passing system. When to se…