Graph Reinforcement Learning Application to Co-operative Decision-Making in Mixed Autonomy Traffic: Framework, Survey, and Challenges. - Qi Liu 020; Xueyuan Li; Zirui Li; Jingda Wu; Guodong Du 006; Xin Gao 035; Fan Yang 098; Shihua Yuan (CoRR, 2022)

Multi-Agent Decision-Making Modes in Uncertain Interactive Traffic Scenarios via Graph Convolution-Based Deep Reinforcement Learning. - Xin Gao 035; Xueyuan Li; Qi Liu 020; Zirui Li; Fan Yang 098; Tian Luan (Sensors, 2022)

Generalized Single-Vehicle-Based Graph Reinforcement Learning for Decision-Making in Autonomous Driving. - Fan Yang 098; Xueyuan Li; Qi Liu 020; Zirui Li; Xin Gao 035 (Sensors, 2022)

A Human Feedback-Driven Decision-Making Method Based on Multi-Modal Deep Reinforcement Learning in Ethical Dilemma Traffic Scenarios. - Xin Gao 035; Tian Luan; Xueyuan Li; Qi Liu 020; Xiaoqiang Meng; Zirui Li (ITSC, 2023)

Graph Reinforcement Learning-Based Decision-Making Technology for Connected and Autonomous Vehicles: Framework, Review, and Future Trends. - Qi Liu 020; Xueyuan Li; Yujie Tang 001; Xin Gao 035; Fan Yang 098; Zirui Li (Sensors, 2023)

SIF-STGDAN: A Social Interaction Force Spatial-Temporal Graph Dynamic Attention Network for Decision-Making of Connected and Autonomous Vehicles. - Qi Liu 020; Yujie Tang 001; Xueyuan Li; Fan Yang 098; Xin Gao 035; Zirui Li (IV, 2024)

Rate GQN: A Deviations-Reduced Decision-Making Strategy for Connected and Automated Vehicles in Mixed Autonomy. - Xin Gao 035; Xueyuan Li; Qi Liu 020; Zhaoyang Ma; Tian Luan; Fan Yang 098; Zirui Li (IEEE Trans. Intell. Transp. Syst., 2024)

Ethical Alignment Decision Making for Connected Autonomous Vehicle in Traffic Dilemmas via Reinforcement Learning From Human Feedback. - Xin Gao 035; Tian Luan; Xueyuan Li; Qi Liu 020; Zhaoyang Ma; Xiaoqiang Meng; Zirui Li (IEEE Internet Things J., 2024)

Spatiotemporal Coordinated Decision-Making in Heterogeneous Platooning via Interflow Hub-and-Spoke Graph Reinforcement Learning. - Xin Gao 035; Xueyuan Li; Hao Liu; Ao Li; Yuzheng Zhu; Zhaoyang Ma; Zirui Li (IEEE Internet Things J., 2025)