Hao Hu

According to our database, Hao Hu authored at least 16 papers between 2020 and 2025.

Collaborative distances:

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

2025

Episodic Novelty Through Temporal Distance.

Yuhua Jiang, Qihan Liu, Yiqin Yang, Xiaoteng Ma, Dianyu Zhong, Hao Hu, Jun Yang, Bin Liang, Bo Xu, Chongjie Zhang, Qianchuan Zhao

CoRR, January, 2025

2024

Planning, Fast and Slow: Online Reinforcement Learning with Action-Free Offline Data via Multiscale Planners.

Chengjie Wu, Hao Hu, Yiqin Yang, Ning Zhang, Chongjie Zhang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Bayesian Design Principles for Offline-to-Online Reinforcement Learning.

Hao Hu, Yiqin Yang, Jianing Ye, Chengjie Wu, Ziqing Mai, Yujing Hu, Tangjie Lv, Changjie Fan, Qianchuan Zhao, Chongjie Zhang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Stylized Offline Reinforcement Learning: Extracting Diverse High-Quality Behaviors from Heterogeneous Datasets.

Yihuan Mao, Chengjie Wu, Xi Chen, Hao Hu, Ji Jiang, Tianze Zhou, Tangjie Lv, Changjie Fan, Zhipeng Hu, Yi Wu, Yujing Hu, Chongjie Zhang

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

What is Essential for Unseen Goal Generalization of Offline Goal-conditioned RL?

Rui Yang, Yong Lin, Xiaoteng Ma, Hao Hu, Chongjie Zhang, Tong Zhang

CoRR, 2023

The Provable Benefits of Unsupervised Data Sharing for Offline Reinforcement Learning.

Hao Hu, Yiqin Yang, Qianchuan Zhao, Chongjie Zhang

CoRR, 2023

Unsupervised Behavior Extraction via Random Intent Priors.

Hao Hu, Yiqin Yang, Jianing Ye, Ziqing Mai, Chongjie Zhang

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

What is Essential for Unseen Goal Generalization of Offline Goal-conditioned RL?

Rui Yang, Lin Yong, Xiaoteng Ma, Hao Hu, Chongjie Zhang, Tong Zhang

Proceedings of the International Conference on Machine Learning, 2023

The Provable Benefit of Unsupervised Data Sharing for Offline Reinforcement Learning.

Hao Hu, Yiqin Yang, Qianchuan Zhao, Chongjie Zhang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Flow to Control: Offline Reinforcement Learning with Lossless Primitive Discovery.

Yiqin Yang, Hao Hu, Wenzhe Li, Siyuan Li, Jun Yang, Qianchuan Zhao, Chongjie Zhang

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

On the Role of Discount Factor in Offline Reinforcement Learning.

Hao Hu, Yiqin Yang, Qianchuan Zhao, Chongjie Zhang

Proceedings of the International Conference on Machine Learning, 2022

Offline Reinforcement Learning with Value-based Episodic Memory.

Xiaoteng Ma, Yiqin Yang, Hao Hu, Jun Yang, Chongjie Zhang, Qianchuan Zhao, Bin Liang, Qihan Liu

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

On the Estimation Bias in Double Q-Learning.

Zhizhou Ren, Guangxiang Zhu, Hao Hu, Beining Han, Jianglun Chen, Chongjie Zhang

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

MetaCURE: Meta Reinforcement Learning with Empowerment-Driven Exploration.

Jin Zhang, Jianhao Wang, Hao Hu, Tong Chen, Yingfeng Chen, Changjie Fan, Chongjie Zhang

Proceedings of the 38th International Conference on Machine Learning, 2021

Generalizable Episodic Memory for Deep Reinforcement Learning.

Hao Hu, Jianing Ye, Guangxiang Zhu, Zhizhou Ren, Chongjie Zhang

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Learn to Effectively Explore in Context-Based Meta-RL.

Jin Zhang, Jianhao Wang, Hao Hu, Yingfeng Chen, Changjie Fan, Chongjie Zhang

CoRR, 2020