基于层次强化学习的交叉口自动驾驶车辆决策模型

期刊介绍： An unmanned system is a machine or device that is equipped with necessary data processing units, sensors, automatic control, and communications systems and is capable of performing missions autonomously without human intervention. Unmanned systems include unmanned aircraft, ground robots, underwater explorers, satellites, and other unconventional structures. Unmanned Systems (US) aims to cover all subjects related to the development of automatic machine systems, which include advanced technologies in unmanned hardware platforms (aerial, ground, underwater and unconventional platforms), unmanned software systems, energy systems, modeling and control, communications systems, computer vision systems, sensing and information processing, navigation and path planning, computing, information fusion, multi-agent systems, mission management, machine intelligence, artificial intelligence, and innovative application case studies. US welcomes original manuscripts in the following categories: research papers, which disseminate scientific findings contributing to solving technical issues underlying the development of unmanned systems; review articles and state-of-the-art surveys, which describe the latest in basic theories, principles, and innovative applications; short articles, which discuss the latest significant achievements and the future trends; and book reviews. Special issues related to the topics of US are welcome. A short proposal should be sent to the Editors-in-Chief. It should include a tentative title; the information of the Guest Editor(s); purpose and scope; possible contributors; and a tentative timetable. If the proposal is accepted, the Guest Editor(s) will be responsible for the special issue and should follow the normal US review process. Copies of the reviewed papers and the reviewers'' comments should be given to the Editors-in-Chief for recording purposes.