【作者单位】1 School of Computer and Software, Nanjing University of Information Science and Technology, Nanjing 210044, China (e-mail: chongwang@nuist.edu.cn) 2 School of Computer and Software, Nanjing University of Information Science and Technology, Nanjing 210044, China. 3 School of Engineering, Tibet University, Lhasa, Tibet 850011, China, and also with the School of Transportation, Southeast University, Nanjing, Jiangsu 210096, China. 4 College of Engineering, University of Wisconsin-Madison, Madison, WI 53706 USA.
【年份】2022
【页码】1-14
【ISSN】1524-9050
【关键词】Traffic control Roads Reinforcement learning Transceivers Simulation Terminology Synchronization
【摘要】 Recent advances in deep reinforcement learning have shown promising results in solving sophisticated control problems with high dimensional states and action space. Inspired by this, we use the latest deep reinforcement learning methods to improve f...
