LLM-Enhanced Multi-Agent Reinforcement Learning for Unified Electric Vehicles-Charging Station-Grid Optimization in Public Charging Systems
This paper proposes a novel LLM-enhanced MARL framework that, for the first time, simultaneously optimizes the Grid, EVs, and Stations within a unified loop by integrating Large Language Model (LLM).
Yang Zhang, Lin-Dong Xie, Chong-Yu Wang et al.
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