Learn to Effectively Explore in Context-Based Meta-RL. - Jin Zhang 016; Jianhao Wang; Hao Hu 006; Yingfeng Chen; Changjie Fan; Chongjie Zhang (CoRR, 2020)

Generalizable Episodic Memory for Deep Reinforcement Learning. - Hao Hu 006; Jianing Ye; Guangxiang Zhu; Zhizhou Ren; Chongjie Zhang (ICML, 2021)

MetaCURE: Meta Reinforcement Learning with Empowerment-Driven Exploration. - Jin Zhang 016; Jianhao Wang; Hao Hu 006; Tong Chen; Yingfeng Chen; Changjie Fan; Chongjie Zhang (ICML, 2021)

On the Estimation Bias in Double Q-Learning. - Zhizhou Ren; Guangxiang Zhu; Hao Hu 006; Beining Han; Jianglun Chen; Chongjie Zhang (NeurIPS, 2021)

Offline Reinforcement Learning with Value-based Episodic Memory. - Xiaoteng Ma; Yiqin Yang; Hao Hu 006; Jun Yang 028; Chongjie Zhang; Qianchuan Zhao; Bin Liang 001; Qihan Liu (ICLR, 2022)

On the Role of Discount Factor in Offline Reinforcement Learning. - Hao Hu 006; Yiqin Yang; Qianchuan Zhao; Chongjie Zhang (ICML, 2022)

Flow to Control: Offline Reinforcement Learning with Lossless Primitive Discovery. - Yiqin Yang; Hao Hu 006; Wenzhe Li; Siyuan Li 003; Jun Yang 028; Qianchuan Zhao; Chongjie Zhang (AAAI, 2023)

The Provable Benefit of Unsupervised Data Sharing for Offline Reinforcement Learning. - Hao Hu 006; Yiqin Yang; Qianchuan Zhao; Chongjie Zhang (ICLR, 2023)

What is Essential for Unseen Goal Generalization of Offline Goal-conditioned RL? - Rui Yang 010; Lin Yong; Xiaoteng Ma; Hao Hu 006; Chongjie Zhang; Tong Zhang 001 (ICML, 2023)

Unsupervised Behavior Extraction via Random Intent Priors. - Hao Hu 006; Yiqin Yang; Jianing Ye; Ziqing Mai; Chongjie Zhang (NeurIPS, 2023)

The Provable Benefits of Unsupervised Data Sharing for Offline Reinforcement Learning. - Hao Hu 006; Yiqin Yang; Qianchuan Zhao; Chongjie Zhang (CoRR, 2023)

What is Essential for Unseen Goal Generalization of Offline Goal-conditioned RL? - Rui Yang 010; Yong Lin; Xiaoteng Ma; Hao Hu 006; Chongjie Zhang; Tong Zhang 001 (CoRR, 2023)

Stylized Offline Reinforcement Learning: Extracting Diverse High-Quality Behaviors from Heterogeneous Datasets. - Yihuan Mao; Chengjie Wu; Xi Chen; Hao Hu 006; Ji Jiang; Tianze Zhou; Tangjie Lv; Changjie Fan; Zhipeng Hu; Yi Wu 013; Yujing Hu; Chongjie Zhang (ICLR, 2024)

Bayesian Design Principles for Offline-to-Online Reinforcement Learning. - Hao Hu 006; Yiqin Yang; Jianing Ye; Chengjie Wu; Ziqing Mai; Yujing Hu; Tangjie Lv; Changjie Fan; Qianchuan Zhao; Chongjie Zhang (ICML, 2024)

Planning, Fast and Slow: Online Reinforcement Learning with Action-Free Offline Data via Multiscale Planners. - Chengjie Wu; Hao Hu 006; Yiqin Yang; Ning Zhang 017; Chongjie Zhang (ICML, 2024)

Episodic Novelty Through Temporal Distance. - Yuhua Jiang; Qihan Liu; Yiqin Yang; Xiaoteng Ma; Dianyu Zhong; Hao Hu 006; Jun Yang 028; Bin Liang 001; Bo Xu 002; Chongjie Zhang; Qianchuan Zhao (ICLR, 2025)

Fewer May Be Better: Enhancing Offline Reinforcement Learning with Reduced Dataset. - Yiqin Yang; Quanwei Wang; Chenghao Li 002; Hao Hu 006; Chengjie Wu; Yuhua Jiang; Dianyu Zhong; Ziyou Zhang; Qianchuan Zhao; Chongjie Zhang; Bo Xu 002 (ICLR, 2025)

Fewer May Be Better: Enhancing Offline Reinforcement Learning with Reduced Dataset. - Yiqin Yang; Quanwei Wang; Chenghao Li 002; Hao Hu 006; Chengjie Wu; Yuhua Jiang; Dianyu Zhong; Ziyou Zhang; Qianchuan Zhao; Chongjie Zhang; Xu Bo (CoRR, 2025)