Jiafan He

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 55

Top Topics

Function Approximation

Markov Decision Process

Reinforcement Learning

Top Venues

Publications

Qiwei Di, Jiafan He, Dongruo Zhou, Quanquan Gu
Nearly Minimax Optimal Regret for Learning Linear Mixture Stochastic Shortest Path. CoRR (2024)
Weitong Zhang, Zhiyuan Fan, Jiafan He, Quanquan Gu
Settling Constant Regrets in Linear Markov Decision Processes. CoRR (2024)
Qiwei Di, Jiafan He, Quanquan Gu
Nearly Optimal Algorithms for Contextual Dueling Bandits from Adversarial Feedback. CoRR (2024)
Zhihao Zhu, Jiafan He, Luyang Hou, Lianming Xu, Wendi Zhu, Li Wang
Emergency Localization for Mobile Ground Users: An Adaptive UAV Trajectory Planning Method. INFOCOM (Workshops) (2024)
Kaixuan Ji, Qingyue Zhao, Jiafan He, Weitong Zhang, Quanquan Gu
Horizon-free Reinforcement Learning in Adversarial Linear Mixture MDPs. ICLR (2024)
Qiwei Di, Heyang Zhao, Jiafan He, Quanquan Gu
Pessimistic Nonlinear Least-Squares Value Iteration for Offline Reinforcement Learning. ICLR (2024)
Kaixuan Ji, Jiafan He, Quanquan Gu
Reinforcement Learning from Human Feedback with Active Queries. CoRR (2024)
Zhihao Zhu, Jiafan He, Luyang Hou, Lianming Xu, Wendi Zhu, Li Wang
Emergency Localization for Mobile Ground Users: An Adaptive UAV Trajectory Planning Method. CoRR (2024)
Jie Wang, Jie Yang, Jiafan He, Dongliang Peng
Multi-Augmentation-Based Contrastive Learning for Semi-Supervised Learning. Algorithms 17 (3) (2024)
Chenlu Ye, Jiafan He, Quanquan Gu, Tong Zhang
Towards Robust Model-Based Reinforcement Learning Against Adversarial Corruption. CoRR (2024)
Jiafan He, Heyang Zhao, Dongruo Zhou, Quanquan Gu
Nearly Minimax Optimal Reinforcement Learning for Linear Markov Decision Processes. ICML (2023)
Heyang Zhao, Jiafan He, Quanquan Gu
A Nearly Optimal and Low-Switching Algorithm for Reinforcement Learning with General Function Approximation. CoRR (2023)
Heyang Zhao, Jiafan He, Dongruo Zhou, Tong Zhang, Quanquan Gu
Variance-Dependent Regret Bounds for Linear Bandits and Reinforcement Learning: Adaptivity and Computational Efficiency. CoRR (2023)
Qiwei Di, Heyang Zhao, Jiafan He, Quanquan Gu
Pessimistic Nonlinear Least-Squares Value Iteration for Offline Reinforcement Learning. CoRR (2023)
Weitong Zhang, Jiafan He, Zhiyuan Fan, Quanquan Gu
On the Interplay Between Misspecification and Sub-optimality Gap in Linear Contextual Bandits. CoRR (2023)
Yue Wu, Jiafan He, Quanquan Gu
Uniform-PAC Guarantees for Model-Based RL with Bounded Eluder Dimension. UAI (2023)
Weitong Zhang, Jiafan He, Dongruo Zhou, Amy Zhang, Quanquan Gu
Provably efficient representation selection in Low-rank Markov Decision Processes: from online to offline RL. UAI (2023)
Heyang Zhao, Jiafan He, Dongruo Zhou, Tong Zhang, Quanquan Gu
Variance-Dependent Regret Bounds for Linear Bandits and Reinforcement Learning: Adaptivity and Computational Efficiency. COLT (2023)
Kaixuan Ji, Qingyue Zhao, Jiafan He, Weitong Zhang, Quanquan Gu
Horizon-free Reinforcement Learning in Adversarial Linear Mixture MDPs. CoRR (2023)
Jiafan He, Aiguo Fei, Qingwei Li, Feng Fang
Attitude Synchronization of Heterogenous Flexible Spacecrafts by Measurement-Based Feedback With Disturbance Suppression. IEEE Access 11 (2023)
Yue Wu, Jiafan He, Quanquan Gu
Uniform-PAC Guarantees for Model-Based RL with Bounded Eluder Dimension. CoRR (2023)
Qiwei Di, Jiafan He, Dongruo Zhou, Quanquan Gu
Nearly Minimax Optimal Regret for Learning Linear Mixture Stochastic Shortest Path. ICML (2023)
Heyang Zhao, Dongruo Zhou, Jiafan He, Quanquan Gu
Optimal Online Generalized Linear Regression with Stochastic Noise and Its Application to Heteroscedastic Bandits. ICML (2023)
Yifei Min, Jiafan He, Tianhao Wang, Quanquan Gu
Cooperative Multi-Agent Reinforcement Learning: Asynchronous Communication and Linear Function Approximation. ICML (2023)
Weitong Zhang, Jiafan He, Zhiyuan Fan, Quanquan Gu
On the Interplay Between Misspecification and Sub-optimality Gap in Linear Contextual Bandits. ICML (2023)
Yifei Min, Jiafan He, Tianhao Wang, Quanquan Gu
Cooperative Multi-Agent Reinforcement Learning: Asynchronous Communication and Linear Function Approximation. CoRR (2023)
Heyang Zhao, Dongruo Zhou, Jiafan He, Quanquan Gu
Bandit Learning with General Function Classes: Heteroscedastic Noise and Variance-dependent Regret Bounds. CoRR (2022)
Jiafan He, Dongruo Zhou, Tong Zhang, Quanquan Gu
Nearly Optimal Algorithms for Linear Contextual Bandits with Adversarial Corruptions. NeurIPS (2022)
Jiafan He, Tianhao Wang, Yifei Min, Quanquan Gu
A Simple and Provably Efficient Algorithm for Asynchronous Federated Contextual Linear Bandits. CoRR (2022)
Jiafan He, Heyang Zhao, Dongruo Zhou, Quanquan Gu
Nearly Minimax Optimal Reinforcement Learning for Linear Markov Decision Processes. CoRR (2022)
Yiming Mao, Zhijie Xia, Qingwei Li, Jiafan He, Aiguo Fei
Accurate Decision-Making Method for Air Combat Pilots Based on Data-Driven. DMBD (2) (2022)
Chonghua Liao, Jiafan He, Quanquan Gu
Locally Differentially Private Reinforcement Learning for Linear Mixture Markov Decision Processes. ACML (2022)
Yifei Min, Jiafan He, Tianhao Wang, Quanquan Gu
Learning Stochastic Shortest Path with Linear Function Approximation. ICML (2022)
Jiafan He, Dongruo Zhou, Tong Zhang, Quanquan Gu
Nearly Optimal Algorithms for Linear Contextual Bandits with Adversarial Corruptions. CoRR (2022)
Jiafan He, Dongruo Zhou, Quanquan Gu
Near-optimal Policy Optimization Algorithms for Learning Adversarial Linear Mixture MDPs. AISTATS (2022)
Yuanzhou Chen, Jiafan He, Quanquan Gu
On the Sample Complexity of Learning Infinite-horizon Discounted Linear Kernel MDPs. ICML (2022)
Jiaqi Wang, Wei Xing Zheng, Andong Sheng, Jiafan He
Cooperative Global Robust Practical Output Regulation of Nonlinear Lower Triangular Multiagent Systems via Event-Triggered Control. IEEE Trans. Cybern. 52 (7) (2022)
Jiafan He, Tianhao Wang, Yifei Min, Quanquan Gu
A Simple and Provably Efficient Algorithm for Asynchronous Federated Contextual Linear Bandits. NeurIPS (2022)
Jiafan He, Dongruo Zhou, Quanquan Gu
Nearly Optimal Regret for Learning Adversarial MDPs with Linear Function Approximation. CoRR (2021)
Jiafan He, Dongruo Zhou, Quanquan Gu
Uniform-PAC Bounds for Reinforcement Learning with Linear Function Approximation. NeurIPS (2021)
Chonghua Liao, Jiafan He, Quanquan Gu
Locally Differentially Private Reinforcement Learning for Linear Mixture Markov Decision Processes. CoRR (2021)
Jiafan He, Dongruo Zhou, Quanquan Gu
Nearly Minimax Optimal Reinforcement Learning for Discounted MDPs. NeurIPS (2021)
Jiafan He, Dongruo Zhou, Quanquan Gu
Logarithmic Regret for Reinforcement Learning with Linear Function Approximation. ICML (2021)
Weitong Zhang, Jiafan He, Dongruo Zhou, Amy Zhang, Quanquan Gu
Provably Efficient Representation Learning in Low-rank Markov Decision Processes. CoRR (2021)
Dongruo Zhou, Jiafan He, Quanquan Gu
Provably Efficient Reinforcement Learning for Discounted MDPs with Feature Mapping. ICML (2021)
Yifei Min, Jiafan He, Tianhao Wang, Quanquan Gu
Learning Stochastic Shortest Path with Linear Function Approximation. CoRR (2021)
Jiafan He, Dongruo Zhou, Quanquan Gu
Uniform-PAC Bounds for Reinforcement Learning with Linear Function Approximation. CoRR (2021)
Jiafan He, Dongruo Zhou, Quanquan Gu
Logarithmic Regret for Reinforcement Learning with Linear Function Approximation. CoRR (2020)
Dongruo Zhou, Jiafan He, Quanquan Gu
Provably Efficient Reinforcement Learning for Discounted MDPs with Feature Mapping. CoRR (2020)
Jiafan He, Dongruo Zhou, Quanquan Gu
Minimax Optimal Reinforcement Learning for Discounted MDPs. CoRR (2020)
Jiafan He, Ariel D. Procaccia, Alexandros Psomas, David Zeng
Achieving a Fairer Future by Changing the Past. IJCAI (2019)
Jiafan He, Youfeng Su, Dabo Xu, Andong Sheng
Event-Triggered Attitude Regulation of Rigid Spacecraft with Uncertain Inertia Matrix. ASCC (2019)
Jiafan He, Andong Sheng, Dabo Xu
Robust Attitude Regulation of Uncertain Spacecraft with Flexible Appendages. ICNSC (2019)
Pengpeng Ye, Jiafan He, Yinya Li, Guoqing Qi, Andong Sheng
Rectangular Impulsive Consensus of Multi-agent Systems with Heterogeneous Control Widths. ASCC (2019)
Dabo Xu, Jiafan He, Andong Sheng, Zhiyong Chen, Dan Wang
Robust attitude tracking control of a rigid spacecraft based on nonlinearly controlled quaternions. ASCC (2017)