A Survey of Multi-Agent Deep Reinforcement Learning with Graph Neural Network-Based Communication

This paper surveys GNN-based communication in multi-agent reinforcement learning (MARL), noting a lack of explicit structure in existing approaches. It proposes a generalized GNN-based communication process to make the underlying concepts more obvious and accessible.