Hongtu Zhou

According to our database, Hongtu Zhou authored at least 11 papers between 2019 and 2026.

Collaborative distances:

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

2026

ACSAC: Adaptive Chunk Size Actor-Critic with Causal Transformer Q-Network.

Qian Chen, Junqiao Zhao, Hongtu Zhou, Hang Yu, Yanping Zhao, Chen Ye, Guang Chen

CoRR, May, 2026

Beyond Penalization: Diffusion-based Out-of-Distribution Detection and Selective Regularization in Offline Reinforcement Learning.

Qingjun Wang, Hongtu Zhou, Hang Yu, Junqiao Zhao, Yanping Zhao, Chen Ye, Ziqiao Wang, Guang Chen

CoRR, May, 2026

2025

Batch Informed Vines (BIV*): Heuristically Guided Exploration of Narrow Passages by Batch Vine Expansion.

Ziheng Jiang, Chang Huang, Hongtu Zhou, Linlin Zhou, Chen Ye, Junqiao Zhao

IEEE Robotics Autom. Lett., February, 2025

CERTAIN: Context Uncertainty-aware One-Shot Adaptation for Context-based Offline Meta Reinforcement Learning.

Hongtu Zhou, Ruiling Yang, Yakun Zhu, Haoqi Zhao, Hai Zhang, Di Zhang, Junqiao Zhao, Chen Ye, Changjun Jiang

Proceedings of the Forty-second International Conference on Machine Learning, 2025

2024

Safe Reinforcement Learning With Dead-Ends Avoidance and Recovery.

Xiao Zhang, Hai Zhang, Hongtu Zhou, Chang Huang, Di Zhang, Chen Ye, Junqiao Zhao

IEEE Robotics Autom. Lett., January, 2024

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, Changjun Jiang

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

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

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Multi-agent Decision-making at Unsignalized Intersections with Reinforcement Learning from Demonstrations.

Chang Huang, Junqiao Zhao, Hongtu Zhou, Hai Zhang, Xiao Zhang, Chen Ye

Proceedings of the IEEE Intelligent Vehicles Symposium, 2023

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, Yan Wu

CoRR, 2019

$DBO$ Trajectory Planning and $HAHP$ Decision-Making for Autonomous Vehicle Driving on Urban Environment.

Dequan Zeng, Zhuoping Yu, Lu Xiong, Zhiqiang Fu, Peizhi Zhang, Hongtu Zhou

IEEE Access, 2019

Learning How to Avoiding Obstacles for End-to-End Driving with Conditional Imitation Learning.

Enwei Zhang, Hongtu Zhou, Yongchao Ding, Junqiao Zhao, Chen Ye

Proceedings of the 2nd International Conference on Signal Processing and Machine Learning, 2019