Xiangkun He

According to our database, Xiangkun He authored at least 17 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Goal-Guided Transformer-Enabled Reinforcement Learning for Efficient Autonomous Navigation.

Wenhui Huang, Yanxin Zhou, Xiangkun He, Chen Lv

IEEE Trans. Intell. Transp. Syst., February, 2024

Robotic Control in Adversarial and Sparse Reward Environments: A Robust Goal-Conditioned Reinforcement Learning Approach.

Xiangkun He, Chen Lv

IEEE Trans. Artif. Intell., January, 2024

Fear-Neuro-Inspired Reinforcement Learning for Safe Autonomous Driving.

Xiangkun He, Jingda Wu, Zhiyu Huang, Zhongxu Hu, Jun Wang, Alberto L. Sangiovanni-Vincentelli, Chen Lv

IEEE Trans. Pattern Anal. Mach. Intell., January, 2024

Personalized robotic control via constrained multi-objective reinforcement learning.

Xiangkun He, Zhongxu Hu, Haohan Yang, Chen Lv

Neurocomputing, January, 2024

Research on state-parameter estimation of unmanned Tractor - A hybrid method of DEKF and ARBFNN.

Guangfei Xu, Meizhou Chen, Xiangkun He, Yulong Liu, Jian Wu, Peisong Diao

Eng. Appl. Artif. Intell., January, 2024

2023

Toward Intelligent Connected E-Mobility: Energy-Aware Cooperative Driving With Deep Multiagent Reinforcement Learning.

Xiangkun He, Chen Lv

IEEE Veh. Technol. Mag., September, 2023

Towards Energy-Efficient Autonomous Driving: A Multi-Objective Reinforcement Learning Approach.

Xiangkun He, Chen Lv

IEEE CAA J. Autom. Sinica, May, 2023

Robust Decision Making for Autonomous Vehicles at Highway On-Ramps: A Constrained Adversarial Reinforcement Learning Approach.

Xiangkun He, Baichuan Lou, Haohan Yang, Chen Lv

IEEE Trans. Intell. Transp. Syst., April, 2023

Robust Lane Change Decision Making for Autonomous Vehicles: An Observation Adversarial Reinforcement Learning Approach.

Xiangkun He, Haohan Yang, Zhongxu Hu, Chen Lv

IEEE Trans. Intell. Veh., January, 2023

2022

Sampling Efficient Deep Reinforcement Learning through Preference-Guided Stochastic Exploration.

Wenhui Huang, Cong Zhang, Jingda Wu, Xiangkun He, Jie Zhang, Chen Lv

CoRR, 2022

Safe Decision-making for Lane-change of Autonomous Vehicles via Human Demonstration-aided Reinforcement Learning.

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

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

2021

Connected Autonomous Vehicle Platoon Control Through Multi-agent Deep Reinforcement Learning.

Guangfei Xu, Bing Chen, Guangxian Li, Xiangkun He

Proceedings of the Broadband Communications, Networks, and Systems, 2021

2020

A Robust Guiding Torque Control Method for Automatic Steering Using LMI Algorithm.

Guangtong Bai, Chunjiang Bao, Jian Wu, Dexi Wu, Junda Zhang, Xiangkun He

IEEE Access, 2020

Multi-objective Longitudinal Decision-making for Autonomous Electric Vehicle: A Entropy-constrained Reinforcement Learning Approach.

Xiangkun He, Cong Fei, Yulong Liu, Kaiming Yang, Xuewu Ji

Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020

Conditional Wasserstein Auto-Encoder for Interactive Vehicle Trajectory Prediction.

Cong Fei, Xiangkun He, Sadahiro Kawahara, Shirou Nakano, Xuewu Ji

Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020

2018

Interactive Control Paradigm-Based Robust Lateral Stability Controller Design for Autonomous Automobile Path Tracking With Uncertain Disturbance: A Dynamic Game Approach.

Xuewu Ji, Yulong Liu, Xiangkun He, Kaiming Yang, Xiaoxiang Na, Chen Lv, Yahui Liu

IEEE Trans. Veh. Technol., 2018

2017

A linear time-varying MPC method for vehicle path-following assistance based on steering torque.

Kaiming Yang, Yahui Liu, Yulong Liu, Xiangkun He, Xuewu Ji

Proceedings of the IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society, Beijing, China, October 29, 2017