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2020 – today
- 2024
[j14]Guangfei Xu
, Meizhou Chen, Xiangkun He, Yulong Liu, Jian Wu, Peisong Diao:
Research on state-parameter estimation of unmanned Tractor - A hybrid method of DEKF and ARBFNN. Eng. Appl. Artif. Intell. 127(Part B): 107402 (2024)- [j13]Xiangkun He, Zhongxu Hu, Haohan Yang, Chen Lv:
Personalized robotic control via constrained multi-objective reinforcement learning. Neurocomputing 565: 126986 (2024) - [j12]Jiayuan Cui, Da Li, Jiabiao Zhao, Jiacheng Liu, Guohao Liu, Xiangkun He, Yue Su, Fei Song, Peian Li, Jianjun Ma:
Terahertz channel modeling based on surface sensing characteristics. Nano Commun. Networks 42: 100533 (2024) - [j11]Xiangkun He, Jingda Wu, Zhiyu Huang, Zhongxu Hu, Jun Wang, Alberto L. Sangiovanni-Vincentelli, Chen Lv:
Fear-Neuro-Inspired Reinforcement Learning for Safe Autonomous Driving. IEEE Trans. Pattern Anal. Mach. Intell. 46(1): 267-279 (2024) - [j10]Xiangkun He, Chen Lv:
Robotic Control in Adversarial and Sparse Reward Environments: A Robust Goal-Conditioned Reinforcement Learning Approach. IEEE Trans. Artif. Intell. 5(1): 244-253 (2024) - [j9]Wenhui Huang, Yanxin Zhou, Xiangkun He, Chen Lv:
Goal-Guided Transformer-Enabled Reinforcement Learning for Efficient Autonomous Navigation. IEEE Trans. Intell. Transp. Syst. 25(2): 1832-1845 (2024) - [j8]Jingda Wu, Haohan Yang, Lie Yang, Yi Huang, Xiangkun He, Chen Lv:
Human-Guided Deep Reinforcement Learning for Optimal Decision Making of Autonomous Vehicles. IEEE Trans. Syst. Man Cybern. Syst. 54(11): 6595-6609 (2024) - [i4]Hao Chen, Xiangkun He, Shuo Cheng, Chen Lv:
Deep Koopman Operator-Informed Safety Command Governor for Autonomous Vehicles. CoRR abs/2405.10145 (2024) - 2023
- [j7]Xiangkun He, Chen Lv:
Towards Energy-Efficient Autonomous Driving: A Multi-Objective Reinforcement Learning Approach. IEEE CAA J. Autom. Sinica 10(5): 1329-1331 (2023) - [j6]Xiangkun He, Baichuan Lou, Haohan Yang, Chen Lv:
Robust Decision Making for Autonomous Vehicles at Highway On-Ramps: A Constrained Adversarial Reinforcement Learning Approach. IEEE Trans. Intell. Transp. Syst. 24(4): 4103-4113 (2023) - [j5]Xiangkun He, Haohan Yang, Zhongxu Hu, Chen Lv:
Robust Lane Change Decision Making for Autonomous Vehicles: An Observation Adversarial Reinforcement Learning Approach. IEEE Trans. Intell. Veh. 8(1): 184-193 (2023) - [j4]Xiangkun He, Chen Lv:
Toward Intelligent Connected E-Mobility: Energy-Aware Cooperative Driving With Deep Multiagent Reinforcement Learning. IEEE Veh. Technol. Mag. 18(3): 101-109 (2023) - [i3]Wenhui Huang, Yanxin Zhou, Xiangkun He, Chen Lv:
Goal-guided Transformer-enabled Reinforcement Learning for Efficient Autonomous Navigation. CoRR abs/2301.00362 (2023) - 2022
- [c5]Jingda Wu, Wenhui Huang, Niels de Boer, Yanghui Mo, Xiangkun He, Chen Lv:
Safe Decision-making for Lane-change of Autonomous Vehicles via Human Demonstration-aided Reinforcement Learning. ITSC 2022: 1228-1233 - [i2]Wenhui Huang, Cong Zhang, Jingda Wu, Xiangkun He, Jie Zhang, Chen Lv:
Sampling Efficient Deep Reinforcement Learning through Preference-Guided Stochastic Exploration. CoRR abs/2206.09627 (2022) - [i1]Jingda Wu, Wenhui Huang, Niels de Boer, Yanghui Mo, Xiangkun He, Chen Lv:
Safe Decision-making for Lane-change of Autonomous Vehicles via Human Demonstration-aided Reinforcement Learning. CoRR abs/2207.00448 (2022) - 2021
- [j3]Qiaoli Zeng, Quan Zhou, Xiangkun He, Youming Sun, Xiangcheng Li, Haiqiang Chen:
Polar Codes: Encoding/Decoding and Rate-Compatible Jointly Design for HARQ System. Intell. Converged Networks 2(4): 334-346 (2021) - [c4]Guangfei Xu, Bing Chen, Guangxian Li, Xiangkun He:
Connected Autonomous Vehicle Platoon Control Through Multi-agent Deep Reinforcement Learning. BROADNETS 2021: 239-248 - 2020
- [j2]Guangtong Bai, Chunjiang Bao, Jian Wu, Dexi Wu, Junda Zhang, Xiangkun He:
A Robust Guiding Torque Control Method for Automatic Steering Using LMI Algorithm. IEEE Access 8: 22162-22169 (2020) - [c3]Cong Fei, Xiangkun He, Sadahiro Kawahara, Shirou Nakano, Xuewu Ji:
Conditional Wasserstein Auto-Encoder for Interactive Vehicle Trajectory Prediction. ITSC 2020: 1-6 - [c2]Xiangkun He, Cong Fei, Yulong Liu, Kaiming Yang, Xuewu Ji:
Multi-objective Longitudinal Decision-making for Autonomous Electric Vehicle: A Entropy-constrained Reinforcement Learning Approach. ITSC 2020: 1-6
2010 – 2019
- 2018
- [j1]Xuewu Ji, Yulong Liu, Xiangkun He, Kaiming Yang, Xiaoxiang Na, Chen Lv, Yahui Liu:
Interactive Control Paradigm-Based Robust Lateral Stability Controller Design for Autonomous Automobile Path Tracking With Uncertain Disturbance: A Dynamic Game Approach. IEEE Trans. Veh. Technol. 67(8): 6906-6920 (2018) - 2017
- [c1]Kaiming Yang, Yahui Liu, Yulong Liu, Xiangkun He, Xuewu Ji:
A linear time-varying MPC method for vehicle path-following assistance based on steering torque. IECON 2017: 4559-4564
Coauthor Index
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