Autonomous Driving using Safe Reinforcement Learning by Incorporating a Regret-based Human Lane-Changing Decision Model

10 October 2019

Papers citing "Autonomous Driving using Safe Reinforcement Learning by Incorporating a Regret-based Human Lane-Changing Decision Model"

7 / 7 papers shown

Title
Multi-Agent Reinforcement Learning for Connected and Automated Vehicles Control: Recent Advancements and Future Prospects Min Hua Dong Chen Xinda Qi Kun Jiang Z. Liu Quan Zhou Hongming Xu 26 10 0 18 Dec 2023
Federated Learning for Connected and Automated Vehicles: A Survey of Existing Approaches and Challenges Vishnu Pandi Chellapandi Liangqi Yuan Christopher G. Brinton Stanislaw H. .Zak Ziran Wang FedML 38 75 0 21 Aug 2023
Don't Watch Me: A Spatio-Temporal Trojan Attack on Deep-Reinforcement-Learning-Augment Autonomous Driving Yinbo Yu Jiajia Liu 21 1 0 22 Nov 2022
Autonomous Highway Merging in Mixed Traffic Using Reinforcement Learning and Motion Predictive Safety Controller Qianqian Liu Fengying Dang Xiaofan Wang Xiaoqiang Ren 27 13 0 03 Apr 2022
Offline Reinforcement Learning for Autonomous Driving with Safety and Exploration Enhancement Tianyu Shi Dong Chen Kaian Chen Zhaojian Li OffRL 34 31 0 13 Oct 2021
Efficient Deep Reinforcement Learning with Imitative Expert Priors for Autonomous Driving Zhiyu Huang Jingda Wu Chen Lv 19 132 0 19 Mar 2021
PowerNet: Multi-agent Deep Reinforcement Learning for Scalable Powergrid Control Dong Chen Kaian Chen Tianshu Chu Rui Yao F. Qiu Kaixiang Lin 41 65 0 24 Nov 2020