Feb. 20, 2024, 5:44 a.m. | Zilin Huang, Zihao Sheng, Chengyuan Ma, Sikai Chen

cs.LG updates on arXiv.org arxiv.org

arXiv:2401.03160v3 Announce Type: replace
Abstract: Despite significant progress in autonomous vehicles (AVs), the development of driving policies that ensure both the safety of AVs and traffic flow efficiency has not yet been fully explored. In this paper, we propose an enhanced human-in-the-loop reinforcement learning method, termed the Human as AI mentor-based deep reinforcement learning (HAIM-DRL) framework, which facilitates safe and efficient autonomous driving in mixed traffic platoon. Drawing inspiration from the human learning process, we first introduce an innovative learning …

ai mentor arxiv autonomous autonomous driving cs.ai cs.lg cs.ro driving human loop mentor reinforcement reinforcement learning type

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