Multi-Agent Reinforcement Learning for Decentralized and Sustainable Energy Network Management: Computational Challenges, Progress, and Open Problems

Multi-agent reinforcement learning (MARL) can support the decentralization and decarbonization of energy networks by addressing key computational challenges in managing energy networks, including grid edge management, power system operation and control, and electricity market design.