Jiafan He

发表

Near-optimal Policy Optimization Algorithms for Learning Adversarial Linear Mixture MDPs

Quanquan Gu, Jiafan He, Dongruo Zhou, 2021, AISTATS.

Nearly Minimax Optimal Reinforcement Learning for Discounted MDPs

Quanquan Gu, Jiafan He, Dongruo Zhou, 2020, NeurIPS.

Nearly Optimal Algorithms for Linear Contextual Bandits with Adversarial Corruptions

Quanquan Gu, Jiafan He, Dongruo Zhou, 2022, ArXiv.

Nearly Optimal Algorithms for Linear Contextual Bandits with Adversarial Corruptions

Quanquan Gu, Jiafan He, Dongruo Zhou, 2022, NeurIPS.

A Simple and Provably Efficient Algorithm for Asynchronous Federated Contextual Linear Bandits

Quanquan Gu, Jiafan He, Yifei Min, 2022, NeurIPS.

Cooperative Global Robust Practical Output Regulation of Nonlinear Lower Triangular Multiagent Systems via Event-Triggered Control

W. Zheng, Jiafan He, A. Sheng, 2021, IEEE Transactions on Cybernetics.

Learning Stochastic Shortest Path with Linear Function Approximation

Quanquan Gu, Jiafan He, Yifei Min, 2021, ICML.

Nearly Minimax Optimal Reinforcement Learning for Linear Markov Decision Processes

Quanquan Gu, Jiafan He, Dongruo Zhou, 2022, ICML.

Variance-Dependent Regret Bounds for Linear Bandits and Reinforcement Learning: Adaptivity and Computational Efficiency

Quanquan Gu, Jiafan He, Dongruo Zhou, 2023, COLT.

Logarithmic Regret for Reinforcement Learning with Linear Function Approximation pdf

Quanquan Gu, Dongruo Zhou, Jiafan He, 2020, ICML.

Provably Efficient Reinforcement Learning for Discounted MDPs with Feature Mapping pdf

Quanquan Gu, Dongruo Zhou, Jiafan He, 2020, ICML.

Multi-agent Reinforcement Learning: Asynchronous Communication and Linear Function Approximation

Quanquan Gu, Jiafan He, Yifei Min, 2023 .

Cooperative Multi-Agent Reinforcement Learning: Asynchronous Communication and Linear Function Approximation

Quanquan Gu, Jiafan He, Yifei Min, 2023, arXiv.org.

Robust attitude tracking control of a rigid spacecraft based on nonlinearly controlled quaternions

Dabo Xu, Dan Wang, Zhiyong Chen, 2017, 2017 11th Asian Control Conference (ASCC).

On the Sample Complexity of Learning Infinite-horizon Discounted Linear Kernel MDPs

Quanquan Gu, Jiafan He, Yuanzhou Chen, 2022, ICML.

Uniform-PAC Guarantees for Model-Based RL with Bounded Eluder Dimension

Quanquan Gu, Jiafan He, Yue Wu, 2023, arXiv.org.

Horizon-free Reinforcement Learning in Adversarial Linear Mixture MDPs

Jiafan He, Weitong Zhang, Q. Gu, 2023, ArXiv.

Cooperative Multi-Agent Reinforcement Learning: Asynchronous Communication and Linear Function Approximation

Quanquan Gu, Jiafan He, Yifei Min, 2023, ICML.

Locally Differentially Private Reinforcement Learning for Linear Mixture Markov Decision Processes pdf

Quanquan Gu, Jiafan He, Chonghua Liao, 2021, ACML.

Provably Efficient Representation Learning in Low-rank Markov Decision Processes pdf

Quanquan Gu, Amy Zhang, Jiafan He, 2021, ArXiv.

Uniform-PAC Bounds for Reinforcement Learning with Linear Function Approximation pdf

Quanquan Gu, Jiafan He, Dongruo Zhou, 2021, NeurIPS.

Nearly Optimal Regret for Learning Adversarial MDPs with Linear Function Approximation pdf

Quanquan Gu, Dongruo Zhou, Jiafan He, 2021, ArXiv.

Robust precision attitude tracking of an uncertain rigid spacecraft based on regulation theory

Zhiyong Chen, Dabo Xu, Dan Wang, 2019, International Journal of Robust and Nonlinear Control.

Achieving a Fairer Future by Changing the Past

Ariel D. Procaccia, David Zeng, Alexandros Psomas, 2019, IJCAI.

Minimax Optimal Reinforcement Learning for Discounted MDPs pdf

Quanquan Gu, Dongruo Zhou, Jiafan He, 2020, ArXiv.

Robust Attitude Regulation of Uncertain Rigid Spacecraft with Ignored Input Dynamics

Dabo Xu, Jiafan He, Haiwen Wu, 2019, 2019 Chinese Control Conference (CCC).

Nonlinear trajectory tracking control of underactuated unmanned underwater vehicles under stochastic disturbances

Jiafan He, Qingwei Li, Man Wang, 2021, 2021 40th Chinese Control Conference (CCC).

Pessimistic Nonlinear Least-Squares Value Iteration for Offline Reinforcement Learning

Jiafan He, Heyang Zhao, Qiwei Di, 2023, 2310.01380.

Optimal Online Generalized Linear Regression with Stochastic Noise and Its Application to Heteroscedastic Bandits

Quanquan Gu, Jiafan He, Dongruo Zhou, 2022, ICML.

Provably efficient representation selection in Low-rank Markov Decision Processes: from online to offline RL

Quanquan Gu, Amy Zhang, Jiafan He, 2023, UAI.

Towards Robust Model-Based Reinforcement Learning Against Adversarial Corruption

Jiafan He, Chen Ye, Quanquan Gu, 2024, ArXiv.

Event-Triggered Attitude Regulation of Rigid Spacecraft with Uncertain Inertia Matrix

Dabo Xu, Youfeng Su, Jiafan He, 2019, 2019 12th Asian Control Conference (ASCC).

Provably efficient representation selection in Low-rank Markov Decision Processes: from online to offline RL

Quanquan Gu, Amy Zhang, Jiafan He, 2021, UAI.

Nearly Minimax Optimal Regret for Learning Linear Mixture Stochastic Shortest Path

Quanquan Gu, Jiafan He, Dongruo Zhou, 2024, ICML.

Provably Efficient Reinforcement Learning for Discounted MDPs with Feature Mapping

Quanquan Gu, Dongruo Zhou, Jiafan He, 2020, ICML.