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2020 – today
- 2024
[j2]Xiao Zhang
, Hai Zhang, Hongtu Zhou, Chang Huang, Di Zhang, Chen Ye, Junqiao Zhao:
Safe Reinforcement Learning With Dead-Ends Avoidance and Recovery. IEEE Robotics Autom. Lett. 9(1): 491-498 (2024)- [i4]Chang Huang, Junqiao Zhao, Shatong Zhu, Hongtu Zhou, Chen Ye, Tiantian Feng, Changjun Jiang:
POWQMIX: Weighted Value Factorization with Potentially Optimal Joint Actions Recognition for Cooperative Multi-Agent Reinforcement Learning. CoRR abs/2405.08036 (2024) - 2023
- [c3]Chang Huang, Junqiao Zhao, Hongtu Zhou, Hai Zhang, Xiao Zhang, Chen Ye:
Multi-agent Decision-making at Unsignalized Intersections with Reinforcement Learning from Demonstrations. IV 2023: 1-6 - [c2]Hai Zhang, Hang Yu, Junqiao Zhao, Di Zhang, Xiao Zhang, Hongtu Zhou, Chang Huang, Chen Ye:
How to Fine-tune the Model: Unified Model Shift and Model Bias Policy Optimization. NeurIPS 2023 - [i3]Xiao Zhang, Hai Zhang, Hongtu Zhou, Chang Huang, Di Zhang, Chen Ye, Junqiao Zhao:
Safe Reinforcement Learning with Dead-Ends Avoidance and Recovery. CoRR abs/2306.13944 (2023) - [i2]Hai Zhang, Hang Yu, Junqiao Zhao, Di Zhang, Chang Huang, Hongtu Zhou, Xiao Zhang, Chen Ye:
How to Fine-tune the Model: Unified Model Shift and Model Bias Policy Optimization. CoRR abs/2309.12671 (2023)
2010 – 2019
- 2019
- [j1]Dequan Zeng, Zhuoping Yu, Lu Xiong, Zhiqiang Fu, Peizhi Zhang, Hongtu Zhou:
$DBO$ Trajectory Planning and $HAHP$ Decision-Making for Autonomous Vehicle Driving on Urban Environment. IEEE Access 7: 165365-165386 (2019) - [c1]Enwei Zhang, Hongtu Zhou, Yongchao Ding, Junqiao Zhao, Chen Ye:
Learning How to Avoiding Obstacles for End-to-End Driving with Conditional Imitation Learning. SPML 2019: 108-113 - [i1]Hongtu Zhou, Xinneng Yang, Enwei Zhang, Junqiao Zhao, Lewen Cai, Chen Ye, Yan Wu:
Real-time Multi-target Path Prediction and Planning for Autonomous Driving aided by FCN. CoRR abs/1909.07592 (2019)
Coauthor Index
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