2 papers
eess.SY2026
Profit Maximization for Electric Vehicle Charging Stations Using Multiagent Reinforcement Learning
Kun-Yan Jiang, Wei-Yu Chiu, Yuan-Po Tsai
Electric vehicles (EVs) are increasingly integrated into power grids, offering economic and environmental benefits but introducing challenges due to uncoordinated charging. This st…
cs.RO2024
Multi-Agent Reinforcement Learning for Connected and Automated Vehicles Control: Recent Advancements and Future Prospects
Min Hua, Dong Chen, Xinda Qi +4
Connected and automated vehicles (CAVs) are considered a potential solution for future transportation challenges, aiming to develop systems that are efficient, safe, and environmen…