Han Zhong

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 51

Top Topics

Function Approximation

Markov Decision Process

Reinforcement Learning

Top Venues

Concurr. Comput. Pract. Exp.

Publications

Rui Yang, Xiaoman Pan, Feng Luo, Shuang Qiu, Han Zhong, Dong Yu, Jianshu Chen
Rewards-in-Context: Multi-objective Alignment of Foundation Models with Dynamic Preference Adjustment. CoRR (2024)
Xiaozhong Luo, Han Zhong, Junjie Lu, Chen Meng, Xu Han
RepDehazeNet: Dual subnets image dehazing network based on structural re-parameterization. Comput. Graph. 118 (2024)
Xutong Liu, Siwei Wang, Jinhang Zuo, Han Zhong, Xuchuang Wang, Zhiyong Wang, Shuai Li, Mohammad Hajiesmaili, John C. S. Lui, Wei Chen
Combinatorial Multivariant Multi-Armed Bandits with Applications to Episodic Reinforcement Learning and Beyond. CoRR (2024)
Xun Deng, Junlong Liu, Han Zhong, Fuli Feng, Chen Shen, Xiangnan He, Jieping Ye, Zheng Wang
A3S: A General Active Clustering Method with Pairwise Constraints. CoRR (2024)
Han Zhong, Guhao Feng, Wei Xiong, Li Zhao, Di He, Jiang Bian, Liwei Wang
DPO Meets PPO: Reinforced Token Optimization for RLHF. CoRR (2024)
Jianliang He, Han Zhong, Zhuoran Yang
Sample-efficient Learning of Infinite-horizon Average-reward MDPs with General Function Approximation. ICLR (2024)
Jianliang He, Han Zhong, Zhuoran Yang
Sample-efficient Learning of Infinite-horizon Average-reward MDPs with General Function Approximation. CoRR (2024)
Jose H. Blanchet, Miao Lu, Tong Zhang, Han Zhong
Double Pessimism is Provably Efficient for Distributionally Robust Offline Reinforcement Learning: Generic Algorithm and Robust Partial Coverage. NeurIPS (2023)
Shuang Qiu, Ziyu Dai, Han Zhong, Zhaoran Wang, Zhuoran Yang, Tong Zhang
Posterior Sampling for Competitive RL: Function Approximation and Partial Observation. CoRR (2023)
Wei Xiong, Hanze Dong, Chenlu Ye, Han Zhong, Nan Jiang, Tong Zhang
Gibbs Sampling from Human Feedback: A Provable KL- constrained Framework for RLHF. CoRR (2023)
Jose Blanchet, Miao Lu, Tong Zhang, Han Zhong
Double Pessimism is Provably Efficient for Distributionally Robust Offline Reinforcement Learning: Generic Algorithm and Robust Partial Coverage. CoRR (2023)
Han Zhong, Jiachen Hu, Yecheng Xue, Tongyang Li, Liwei Wang
Provably Efficient Exploration in Quantum Reinforcement Learning with Logarithmic Worst-Case Regret. CoRR (2023)
Rui Yang, Han Zhong, Jiawei Xu, Amy Zhang, Chongjie Zhang, Lei Han, Tong Zhang
Towards Robust Offline Reinforcement Learning under Diverse Data Corruption. CoRR (2023)
Han Zhong, Tong Zhang
A Theoretical Analysis of Optimistic Proximal Policy Optimization in Linear Markov Decision Processes. CoRR (2023)
Guhao Feng, Han Zhong
Rethinking Model-based, Policy-based, and Value-based Reinforcement Learning via the Lens of Representation Complexity. CoRR (2023)
Zhihan Liu, Miao Lu, Wei Xiong, Han Zhong, Hao Hu, Shenao Zhang, Sirui Zheng, Zhuoran Yang, Zhaoran Wang
Maximize to Explore: One Objective Function Fusing Estimation, Planning, and Exploration. NeurIPS (2023)
Yunchang Yang, Han Zhong, Tianhao Wu, Bin Liu, Liwei Wang, Simon S. Du
A Reduction-based Framework for Sequential Decision Making with Delayed Feedback. CoRR (2023)
Zhenci Sun, Xiaoguang Zhao, Lingyun Zhang, Ziqi Mei, Han Zhong, Rui You, Wenshuai Lu, Zheng You, Jiahao Zhao
WiFi Energy-Harvesting Antenna Inspired by the Resonant Magnetic Dipole Metamaterial. Sensors 22 (17) (2022)
Jiachen Hu, Han Zhong, Chi Jin, Liwei Wang
Provable Sim-to-real Transfer in Continuous Domain with Partial Observations. CoRR (2022)
Han Zhong, Zheng Li, Peng Chen, Hao Lu, Yijia Xu
The selection of burglary cases based on multidimensional features and PageRank. Concurr. Comput. Pract. Exp. 34 (10) (2022)
Han Zhong, Jin Wu
Image dehazing algorithm based on improved generative adversarial network. ICCSIE (2022)
Wei Xiong, Han Zhong, Chengshuai Shi, Cong Shen, Liwei Wang, Tong Zhang
Nearly Minimax Optimal Offline Reinforcement Learning with Linear Function Approximation: Single-Agent MDP and Markov Game. CoRR (2022)
Wei Xiong, Han Zhong, Chengshuai Shi, Cong Shen, Tong Zhang
A Self-Play Posterior Sampling Algorithm for Zero-Sum Markov Games. CoRR (2022)
Han Zhong, Zhenhu Ning, Guijun Li, Zheng Li
A method of core concept extraction based on semantic-weight ranking. Concurr. Comput. Pract. Exp. 34 (1) (2022)
Han Zhong, Wei Xiong, Jiyuan Tan, Liwei Wang, Tong Zhang, Zhaoran Wang, Zhuoran Yang
Pessimistic Minimax Value Iteration: Provably Efficient Equilibrium Learning from Offline Datasets. CoRR (2022)
Wei Xiong, Han Zhong, Chengshuai Shi, Cong Shen, Tong Zhang
A Self-Play Posterior Sampling Algorithm for Zero-Sum Markov Games. ICML (2022)
Yunchang Yang, Tianhao Wu, Han Zhong, Evrard Garcelon, Matteo Pirotta, Alessandro Lazaric, Liwei Wang, Simon Shaolei Du
A Reduction-Based Framework for Conservative Bandits and Reinforcement Learning. ICLR (2022)
Han Zhong, Wei Xiong, Jiyuan Tan, Liwei Wang, Tong Zhang, Zhaoran Wang, Zhuoran Yang
Pessimistic Minimax Value Iteration: Provably Efficient Equilibrium Learning from Offline Datasets. ICML (2022)
Han Zhong, Wei Xiong, Sirui Zheng, Liwei Wang, Zhaoran Wang, Zhuoran Yang, Tong Zhang
A Posterior Sampling Framework for Interactive Decision Making. CoRR (2022)
Xiaoyu Chen, Han Zhong, Zhuoran Yang, Zhaoran Wang, Liwei Wang
Human-in-the-loop: Provably Efficient Preference-based Reinforcement Learning with General Function Approximation. ICML (2022)
Binghui Li, Jikai Jin, Han Zhong, John E. Hopcroft, Liwei Wang
Why Robust Generalization in Deep Learning is Difficult: Perspective of Expressive Power. CoRR (2022)
Tianhao Wu, Yunchang Yang, Han Zhong, Liwei Wang, Simon S. Du, Jiantao Jiao
Nearly Optimal Policy Optimization with Stable at Any Time Guarantee. ICML (2022)
Xiaoyu Chen, Han Zhong, Zhuoran Yang, Zhaoran Wang, Liwei Wang
Human-in-the-loop: Provably Efficient Preference-based Reinforcement Learning with General Function Approximation. CoRR (2022)
Han Zhong, Jiayi Huang, Lin F. Yang, Liwei Wang
Breaking the Moments Condition Barrier: No-Regret Algorithm for Bandits with Super Heavy-Tailed Payoffs. CoRR (2021)
Yunchang Yang, Tianhao Wu, Han Zhong, Evrard Garcelon, Matteo Pirotta, Alessandro Lazaric, Liwei Wang, Simon S. Du
A Unified Framework for Conservative Exploration. CoRR (2021)
Runzhou Zhang, Han Zhong, Tongyi Zheng, Lei Ning
Trajectory Mining-Based City-Level Mobility Model for 5G NB-IoT Networks. Wirel. Commun. Mob. Comput. 2021 (2021)
Tianhao Wu, Yunchang Yang, Han Zhong, Liwei Wang, Simon S. Du, Jiantao Jiao
Nearly Optimal Policy Optimization with Stable at Any Time Guarantee. CoRR (2021)
Han Zhong, Zhuoran Yang, Zhaoran Wang, Csaba Szepesvári
Optimistic Policy Optimization is Provably Efficient in Non-stationary MDPs. CoRR (2021)
Han Zhong, Shiqiang Zhang, Jianli Liu
A research framework for constructing the knowledge database of public security information. Int. J. Wirel. Mob. Comput. 21 (3) (2021)
Han Zhong, Zhuoran Yang, Zhaoran Wang, Michael I. Jordan
Can Reinforcement Learning Find Stackelberg-Nash Equilibria in General-Sum Markov Games with Myopic Followers? CoRR (2021)
Han Zhong, Ruize Sun, Fengcheng Mei, Yong Chen, Fan Jin, Lei Ning
Deep Grid Scheduler for 5G NB-IoT Uplink Transmission. Secur. Commun. Networks 2021 (2021)
Han Zhong, Jiayi Huang, Lin Yang, Liwei Wang
Breaking the Moments Condition Barrier: No-Regret Algorithm for Bandits with Super Heavy-Tailed Payoffs. NeurIPS (2021)
Han Zhong, Hong Liu, Geqi Qi
Analysis of Terminal Area Airspace Operation Status Based on Trajectory Characteristic Point Clustering. IEEE Access 9 (2021)
Kaixin Chen, Xiao Lin, Xing Hu, Jiayao Wang, Han Zhong, Linhua Jiang
An enhanced adaptive non-local means algorithm for Rician noise reduction in magnetic resonance brain images. BMC Medical Imaging 20 (1) (2020)
Jianhui Chen, Ningning Wang, Yue Deng, Han Zhong, Jian Han, Youjun Li, Zhijiang Wan, Taihei Kotake, Dongsheng Wang, Ning Zhong
Wisdom as a Service for Mental Health Care. IEEE Trans. Cloud Comput. 8 (2) (2020)
Han Zhong, Ethan X. Fang, Zhuoran Yang, Zhaoran Wang
Risk-Sensitive Deep RL: Variance-Constrained Actor-Critic Provably Finds Globally Optimal Policy. CoRR (2020)
Han Zhong, Zhisheng Huang
Document recommendation based on interests of co-authors for brain science. Health Inf. Sci. Syst. 7 (1) (2019)
Han Zhong, Geqi Qi, Wei Guan, Xiaochen Hua
Application of Non-Negative Tensor Factorization for Airport Flight Delay Pattern Recognition. IEEE Access 7 (2019)
Han Zhong, Zhisheng Huang
Document Recommendation Based on Interests of Co-authors for Brain Science. HIS (2019)
Haiyang Yu, Yongquan Cai, Shanshan Kong, Zhenhu Ning, Fei Xue, Han Zhong
Efficient and Secure Identity-Based Public Auditing for Dynamic Outsourced Data with Proxy. KSII Trans. Internet Inf. Syst. 11 (10) (2017)
Ningning Wang, Ning Zhong, Jian Han, Jianhui Chen, Han Zhong, Taihei Kotake, Dongsheng Wang, Jianzhuo Yan
A Personalized Method of Literature Recommendation Based on Brain Informatics Provenances. BIH (2015)
Han Zhong, Jianhui Chen, Jian Han, Ning Zhong
Data-Brain Driven Documents Ranking for Constructing Brain Informatics Provenances. Brain Informatics and Health (2014)
Jian Han, Jianhui Chen, Han Zhong, Ning Zhong
A Brain Informatics Research Recommendation System. Brain Informatics and Health (2014)
Han Zhong, Jianhui Chen, Taihei Kotake, Jian Han, Ning Zhong, Zhisheng Huang
Developing a Brain Informatics Provenance Model. Brain and Health Informatics (2013)