AsyncTrader: Asynchronous Multi-Agent Reinforcement Learning for P2P Energy Trading
The increasing deployment of distributed energy resources is reshaping residential power systems toward more decentralized and locally coordinated operation. Peer-to-peer (P2P) energy trading is a promising approach for coordinating distributed residential energy resources, and multi-agent reinforcement learning (MARL)...