GMAT: A Graph-Enhanced Multi-Agent Transformer for Coordinated Voltage Regulation in Heterogeneous Distribution Networks
Multi-agent reinforcement learning faces challenges in capturing the spatial interdependencies and physical constraints of electrical networks. Existing paradigms often treat agents as isolated entities, leading to fragmented situational awareness and suboptimal coordination. To overcome these limitations, we introduce...