crossrefApplied Sciences2025-03-30Cited by 6
QMIX-GNN: A Graph Neural Network-Based Heterogeneous Multi-Agent Reinforcement Learning Model for Improved Collaboration and Decision-Making
Taiyin Zhao, Tian Chen, Bing Zhang
In multi-agent reinforcement learning, the fully centralized approach suffers from issues such as explosion of the joint state and action spaces, leading to performance degradation. On the other hand, the fully decentralized approach relies on agents that focus solely on maximizi…