Zhao, Junqiao

8 publications

ICML 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

NeurIPS 2025 CHPO: Constrained Hybrid-Action Policy Optimization for Reinforcement Learning Ao Zhou, Jiayi Guan, Li Shen, Fan Lu, Sanqing Qu, Junqiao Zhao, Ziqiao Wang, Ya Wu, Guang Chen

CoRL 2025 KineDex: Learning Tactile-Informed Visuomotor Policies via Kinesthetic Teaching for Dexterous Manipulation Di Zhang, Chengbo Yuan, Chuan Wen, Hai Zhang, Junqiao Zhao, Yang Gao

NeurIPS 2025 MutualVPR: A Mutual Learning Framework for Resolving Supervision Inconsistencies via Adaptive Clustering Qiwen Gu, Xufei Wang, Junqiao Zhao, Siyue Tao, Tiantian Feng, Ziqiao Wang, Guang Chen

ICLR 2025 Scrutinize What We Ignore: Reining in Task Representation Shift of Context-Based Offline Meta Reinforcement Learning Hai Zhang, Boyuan Zheng, Tianying Ji, JinHang Liu, Anqi Guo, Junqiao Zhao, Lanqing Li

NeurIPS 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

NeurIPS 2024 Towards an Information Theoretic Framework of Context-Based Offline Meta-Reinforcement Learning Lanqing Li, Hai Zhang, Xinyu Zhang, Shatong Zhu, Yang Yu, Junqiao Zhao, Pheng-Ann Heng

NeurIPS 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