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*This work was supported by the National Natural Science Foundation of China (grants 62173243 and 61933014). Zhengxuan Liu, Yijing Wang and Zhiqiang Zuo are with the Tianjin Key Laboratory of Intelligent Unmanned Swarm Technology and System, School of Electrical and Information Engineering, Tianjin University, Tianjin 300072, China. (e-mail: liuzhengxuan@tju.edu.cn; yjwang@tju.edu.cn; zqzuo@tju.edu.cn) Yuxin Cai, and Chen Lv are with School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore. (e-mail: caiy0039@e.ntu.edu.sg; lyuchen@ntu.edu.sg) Xiangkun He is with Shenzhen Institute for Advanced Study, University of Electronic Science and Technology of China. (e-mail: xiangkun.he@uestc.edu.cn)
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By explicitly modeling CAV-CAV vs CAV-HDV interactions, this MARL approach substantially improves traffic flow in mixed autonomy scenarios.
