Hao Hu - RankMe

31 papers A* 15Journal 16

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	GlobeDiff: State Diffusion Process for Partial Observability in Multi-Agent Systems. CoRR Yiqin Yang, Xu Yang, Yuhua Jiang, Ni Mu, Hao Hu, Runpeng Xie, Ziyou Zhang, Siyuan Li, Yuan-Hua Ni, Qianchuan Zhao, Bo Xu
2025	A*	`conf`	CLARIFY: Contrastive Preference Reinforcement Learning for Untangling Ambiguous Queries. ICML Ni Mu, Hao Hu, Xiao Hu, Yiqin Yang, Bo Xu, Qing-Shan Jia
2025	J	`jnl`	CLARIFY: Contrastive Preference Reinforcement Learning for Untangling Ambiguous Queries. CoRR Ni Mu, Hao Hu, Xiao Hu, Yiqin Yang, Bo Xu, Qing-Shan Jia
2025	J	`jnl`	DAIL: Beyond Task Ambiguity for Language-Conditioned Reinforcement Learning. CoRR Runpeng Xie, Quanwei Wang, Hao Hu, Zherui Zhou, Ni Mu, Xiyun Li, Yiqin Yang, Shuang Xu, Qianchuan Zhao, Bo Xu
2025	A*	`conf`	Episodic Novelty Through Temporal Distance. ICLR Yuhua Jiang, Qihan Liu, Yiqin Yang, Xiaoteng Ma, Dianyu Zhong, Hao Hu, Jun Yang, Bin Liang, Bo Xu, Chongjie Zhang, Qianchuan Zhao
2025	J	`jnl`	Episodic Novelty Through Temporal Distance. CoRR Yuhua Jiang, Qihan Liu, Yiqin Yang, Xiaoteng Ma, Dianyu Zhong, Hao Hu, Jun Yang, Bin Liang, Bo Xu, Chongjie Zhang, Qianchuan Zhao
2025	A*	`conf`	Fewer May Be Better: Enhancing Offline Reinforcement Learning with Reduced Dataset. ICLR Yiqin Yang, Quanwei Wang, Chenghao Li, Hao Hu, Chengjie Wu, Yuhua Jiang, Dianyu Zhong, Ziyou Zhang, Qianchuan Zhao, Chongjie Zhang, Bo Xu
2025	J	`jnl`	Fewer May Be Better: Enhancing Offline Reinforcement Learning with Reduced Dataset. CoRR Yiqin Yang, Quanwei Wang, Chenghao Li, Hao Hu, Chengjie Wu, Yuhua Jiang, Dianyu Zhong, Ziyou Zhang, Qianchuan Zhao, Chongjie Zhang, Xu Bo
2025	J	`jnl`	SC2Arena and StarEvolve: Benchmark and Self-Improvement Framework for LLMs in Complex Decision-Making Tasks. CoRR Pengbo Shen, Yaqing Wang, Ni Mu, Yao Luan, Runpeng Xie, Senhao Yang, Lexiang Wang, Hao Hu, Shuang Xu, Yiqin Yang, Bo Xu
2024	A*	`conf`	Bayesian Design Principles for Offline-to-Online Reinforcement Learning. ICML Hao Hu, Yiqin Yang, Jianing Ye, Chengjie Wu, Ziqing Mai, Yujing Hu, Tangjie Lv, Changjie Fan, Qianchuan Zhao, Chongjie Zhang
2024	J	`jnl`	Bayesian Design Principles for Offline-to-Online Reinforcement Learning. CoRR Hao Hu, Yiqin Yang, Jianing Ye, Chengjie Wu, Ziqing Mai, Yujing Hu, Tangjie Lv, Changjie Fan, Qianchuan Zhao, Chongjie Zhang
2024	A*	`conf`	Planning, Fast and Slow: Online Reinforcement Learning with Action-Free Offline Data via Multiscale Planners. ICML Chengjie Wu, Hao Hu, Yiqin Yang, Ning Zhang, Chongjie Zhang
2024	A*	`conf`	Stylized Offline Reinforcement Learning: Extracting Diverse High-Quality Behaviors from Heterogeneous Datasets. ICLR Yihuan Mao, Chengjie Wu, Xi Chen, Hao Hu, Ji Jiang, Tianze Zhou, Tangjie Lv, Changjie Fan, Zhipeng Hu, Yi Wu, Yujing Hu, Chongjie Zhang
2023	A*	`conf`	Flow to Control: Offline Reinforcement Learning with Lossless Primitive Discovery. AAAI Yiqin Yang, Hao Hu, Wenzhe Li, Siyuan Li, Jun Yang, Qianchuan Zhao, Chongjie Zhang
2023	A*	`conf`	The Provable Benefit of Unsupervised Data Sharing for Offline Reinforcement Learning. ICLR Hao Hu, Yiqin Yang, Qianchuan Zhao, Chongjie Zhang
2023	J	`jnl`	The Provable Benefits of Unsupervised Data Sharing for Offline Reinforcement Learning. CoRR Hao Hu, Yiqin Yang, Qianchuan Zhao, Chongjie Zhang
2023	A*	`conf`	Unsupervised Behavior Extraction via Random Intent Priors. NeurIPS Hao Hu, Yiqin Yang, Jianing Ye, Ziqing Mai, Chongjie Zhang
2023	J	`jnl`	Unsupervised Behavior Extraction via Random Intent Priors. CoRR Hao Hu, Yiqin Yang, Jianing Ye, Ziqing Mai, Chongjie Zhang
2023	A*	`conf`	What is Essential for Unseen Goal Generalization of Offline Goal-conditioned RL? ICML Rui Yang, Lin Yong, Xiaoteng Ma, Hao Hu, Chongjie Zhang, Tong Zhang
2023	J	`jnl`	What is Essential for Unseen Goal Generalization of Offline Goal-conditioned RL? CoRR Rui Yang, Yong Lin, Xiaoteng Ma, Hao Hu, Chongjie Zhang, Tong Zhang
2022	J	`jnl`	Flow to Control: Offline Reinforcement Learning with Lossless Primitive Discovery. CoRR Yiqin Yang, Hao Hu, Wenzhe Li, Siyuan Li, Jun Yang, Qianchuan Zhao, Chongjie Zhang
2022	A*	`conf`	Offline Reinforcement Learning with Value-based Episodic Memory. ICLR Xiaoteng Ma, Yiqin Yang, Hao Hu, Jun Yang, Chongjie Zhang, Qianchuan Zhao, Bin Liang, Qihan Liu
2022	A*	`conf`	On the Role of Discount Factor in Offline Reinforcement Learning. ICML Hao Hu, Yiqin Yang, Qianchuan Zhao, Chongjie Zhang
2022	J	`jnl`	On the Role of Discount Factor in Offline Reinforcement Learning. CoRR Hao Hu, Yiqin Yang, Qianchuan Zhao, Chongjie Zhang
2021	A*	`conf`	Generalizable Episodic Memory for Deep Reinforcement Learning. ICML Hao Hu, Jianing Ye, Guangxiang Zhu, Zhizhou Ren, Chongjie Zhang
2021	J	`jnl`	Generalizable Episodic Memory for Deep Reinforcement Learning. CoRR Hao Hu, Jianing Ye, Zhizhou Ren, Guangxiang Zhu, Chongjie Zhang
2021	A*	`conf`	MetaCURE: Meta Reinforcement Learning with Empowerment-Driven Exploration. ICML Jin Zhang, Jianhao Wang, Hao Hu, Tong Chen, Yingfeng Chen, Changjie Fan, Chongjie Zhang
2021	J	`jnl`	Offline Reinforcement Learning with Value-based Episodic Memory. CoRR Xiaoteng Ma, Yiqin Yang, Hao Hu, Qihan Liu, Jun Yang, Chongjie Zhang, Qianchuan Zhao, Bin Liang
2021	A*	`conf`	On the Estimation Bias in Double Q-Learning. NeurIPS Zhizhou Ren, Guangxiang Zhu, Hao Hu, Beining Han, Jianglun Chen, Chongjie Zhang
2021	J	`jnl`	On the Estimation Bias in Double Q-Learning. CoRR Zhizhou Ren, Guangxiang Zhu, Hao Hu, Beining Han, Jianglun Chen, Chongjie Zhang
2020	J	`jnl`	Learn to Effectively Explore in Context-Based Meta-RL. CoRR Jin Zhang, Jianhao Wang, Hao Hu, Yingfeng Chen, Changjie Fan, Chongjie Zhang