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Rate GQN: A Deviations-Reduced Decision-Making Strategy for Connected and Automated Vehicles in Mixed Autonomy

Gao, Xin / Li, Xueyuan / Liu, Qi et al. | IEEE | 2024

Hierarchical Motion Planning and Tracking for Autonomous Vehicles Using Global Heuristic Based Potential Field and Reinforcement Learning Based Predictive Control

Du, Guodong / Zou, Yuan / Zhang, Xudong et al. | IEEE | 2023

Graph Convolution-Based Deep Reinforcement Learning for Multi-Agent Decision-Making in Interactive Traffic Scenarios

Liu, Qi / Li, Zirui / Li, Xueyuan et al. | IEEE | 2022

Formation Control of Skid-Steered Vehicles Based on Distributed Model Predictive Control

Wang, Yiping / Li, Xueyuan / Liu, Qi et al. | Springer Verlag | 2023

Filling Action Selection Reinforcement Learning Algorithm for Safer Autonomous Driving in Multi-Traffic Scenes

Yang, Fan / Li, Xueyuan / Liu, Qi et al. | IEEE | 2023

Decision-Making Technology for Autonomous Vehicles: Learning-Based Methods, Applications and Future Outlook

Liu, Qi / Li, Xueyuan / Yuan, Shihua et al. | IEEE | 2021

A review of vision-based road detection technology for unmanned vehicles

Liu, Chaoyang / Li, Xueyuan / Liu, Qi et al. | IEEE | 2023

An Ensemble Learning Framework for Vehicle Trajectory Prediction in Interactive Scenarios

Li, Zirui / Lin, Yunlong / Gong, Cheng et al. | IEEE | 2022

A Human Feedback-Driven Decision-Making Method Based on Multi-Modal Deep Reinforcement Learning in Ethical Dilemma Traffic Scenarios

Gao, Xin / Luan, Tian / Li, Xueyuan et al. | IEEE | 2023

A Comparative Study of Deep Reinforcement Learning-based Transferable Energy Management Strategies for Hybrid Electric Vehicles

Xu, Jingyi / Li, Zirui / Gao, Li et al. | IEEE | 2022