Multi-Objective Reinforcement Learning for Smart Planning of Electric Vehicle Charging Stations
A hybrid optimization framework that combines greedy initialization with reinforcement learning to efficiently explore the charging station deployment problem is proposed and demonstrates stable performance across three evaluated deployment scenarios, indicating its potential applicability to increasingly complex charging infrastructure planning problems.