Multi-Agent Reinforcement Learning via Mean Field Game for Power Grid Fault Diagnosis & Prediction
Power grid fault diagnosis and prediction represent critical challenges in modern electrical infrastructure management, requiring rapid, accurate, and scalable decision-making under complex, dynamic conditions. This paper proposes a novel framework integrating MARL with MFG theory to address the inherent scalability li...