Toward personalized decision making for autonomous vehicles: a constrained multi-objective reinforcement learning technique

by He, Xiangkun, Lv, Chen
Published 2023

Towards safe autonomous driving: decision making with observation-robust reinforcement learning

by He, Xiangkun, Lv, Chen
Published 2024

Robust multiagent reinforcement learning toward coordinated decision-making of automated vehicles

by He, Xiangkun, Chen, Hao, Lv, Chen
Published 2024

Toward trustworthy decision-making for autonomous vehicles: a robust reinforcement learning approach with safety guarantees

by He, Xiangkun, Huang, Wenhui, Lv, Chen
Published 2024

Personalized robotic control via constrained multi-objective reinforcement learning

by He, Xiangkun, Hu, Zhongxu, Yang, Haohan, Lv, Chen
Published 2024

Deep Koopman operator-informed safety command governor for autonomous vehicles

by Chen, Hao, He, Xiangkun, Cheng, Shuo, Lv, Chen
Published 2024

Safe decision-making for lane-change of autonomous vehicles via human demonstration-aided reinforcement learning

by Wu, Jingda, Huang, Wenhui, de Boer, Niels, Mo, Yanghui, He, Xiangkun, Lv, Chen
Published 2023

Fear-neuro-inspired reinforcement learning for safe autonomous driving

by He, Xiangkun, Wu, Jingda, Huang, Zhiyu, Hu, Zhongxu, Wang, Jun, Sangiovanni-Vincentelli, Alberto, Lv, Chen
Published 2024