XLight: An interpretable multi-agent reinforcement learning approach for traffic signal control.

Sibin Cai

Sibin Cai Jie Fang Mengyun Xu XLight: An interpretable multi-agent reinforcement learning approach for traffic signal control. 126938 2025 273 Expert Syst. Appl. https://doi.org/10.1016/j.eswa.2025.126938 db/journals/eswa/eswa273.html#CaiFX25 streams/journals/eswa

Sibin Cai Jie Fang Mengyun Xu FairSignal: A Multiagent Reinforcement Learning Approach Considering Fairness for Multi-Intersection Traffic Signal Control. 23835-23851 2025 July 12 IEEE Internet Things J. 13 https://doi.org/10.1109/JIOT.2025.3555822 db/journals/iotj/iotj12.html#CaiFX25 streams/journals/iotj

Jie Fang Sibin Cai Ya You Mengyun Xu Prateek Bansal Eui-Jin Kim Coordinated Multi-Agent Reinforcement Learning Method for Integrating Transit Signal Priority and Speed Guidance Control. 22405-22417 2025 December 26 IEEE Trans. Intell. Transp. Syst. 12 https://doi.org/10.1109/TITS.2025.3619455 db/journals/tits/tits26.html#FangCYXBK25 streams/journals/tits

Jie Fang Ya You Mengyun Xu Juanmeizi Wang Sibin Cai Multi-Objective Traffic Signal Control Using Network-Wide Agent Coordinated Reinforcement Learning. 120535 2023 November 229 Expert Syst. Appl. Part A https://doi.org/10.1016/j.eswa.2023.120535 db/journals/eswa/eswa229.html#FangYXWC23

Prateek Bansal Jie Fang Eui-Jin Kim Juanmeizi Wang Mengyun Xu Ya You