Learning How to Avoiding Obstacles for End-to-End Driving with Conditional Imitation Learning. - Enwei Zhang; Hongtu Zhou; Yongchao Ding; Junqiao Zhao; Chen Ye 002 (SPML, 2019)

$DBO$ Trajectory Planning and $HAHP$ Decision-Making for Autonomous Vehicle Driving on Urban Environment. - Dequan Zeng; Zhuoping Yu; Lu Xiong 001; Zhiqiang Fu; Peizhi Zhang; Hongtu Zhou (IEEE Access, 2019)

Real-time Multi-target Path Prediction and Planning for Autonomous Driving aided by FCN. - Hongtu Zhou; Xinneng Yang; Enwei Zhang; Junqiao Zhao; Lewen Cai; Chen Ye 002; Yan Wu 011 (CoRR, 2019)

Multi-agent Decision-making at Unsignalized Intersections with Reinforcement Learning from Demonstrations. - Chang Huang; Junqiao Zhao; Hongtu Zhou; Hai Zhang; Xiao Zhang; Chen Ye 002 (IV, 2023)

How to Fine-tune the Model: Unified Model Shift and Model Bias Policy Optimization. - Hai Zhang; Hang Yu; Junqiao Zhao; Di Zhang; Xiao Zhang; Hongtu Zhou; Chang Huang; Chen Ye 002 (NeurIPS, 2023)

Focus On What Matters: Separated Models For Visual-Based RL Generalization. - Di Zhang; Bowen Lv; Hai Zhang; Feifan Yang; Junqiao Zhao; Hang Yu; Chang Huang; Hongtu Zhou; Chen Ye 002; Changjun Jiang (NeurIPS, 2024)

Safe Reinforcement Learning With Dead-Ends Avoidance and Recovery. - Xiao Zhang; Hai Zhang; Hongtu Zhou; Chang Huang; Di Zhang; Chen Ye 002; Junqiao Zhao (IEEE Robotics Autom. Lett., 2024)

Batch Informed Vines (BIV*): Heuristically Guided Exploration of Narrow Passages by Batch Vine Expansion. - Ziheng Jiang; Chang Huang; Hongtu Zhou; Linlin Zhou; Chen Ye 002; Junqiao Zhao (IEEE Robotics Autom. Lett., 2025)