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Policy Gradient Method For Robust Reinforcement Learning


May 15, 2022
Yue Wang, Shaofeng Zou

* Accepted by ICML 2022 

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Kernel Robust Hypothesis Testing


Mar 23, 2022
Zhongchang Sun, Shaofeng Zou


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Quickest Change Detection in Anonymous Heterogeneous Sensor Networks


Feb 26, 2022
Zhongchang Sun, Shaofeng Zou, Ruizhi Zhang, Qunwei Li


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Faster Algorithm and Sharper Analysis for Constrained Markov Decision Process


Oct 20, 2021
Tianjiao Li, Ziwei Guan, Shaofeng Zou, Tengyu Xu, Yingbin Liang, Guanghui Lan

* The paper was initially submitted for publication in January 2021 

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Online Robust Reinforcement Learning with Model Uncertainty


Sep 29, 2021
Yue Wang, Shaofeng Zou

* Accepted by NeurIPS 2021 

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Sample and Communication-Efficient Decentralized Actor-Critic Algorithms with Finite-Time Analysis


Sep 08, 2021
Ziyi Chen, Yi Zhou, Rongrong Chen, Shaofeng Zou

* 40 pages, 2 figures 

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Finite-Sample Analysis for Two Time-scale Non-linear TDC with General Smooth Function Approximation


Apr 07, 2021
Yue Wang, Shaofeng Zou, Yi Zhou


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Greedy-GQ with Variance Reduction: Finite-time Analysis and Improved Complexity


Mar 30, 2021
Shaocong Ma, Ziyi Chen, Yi Zhou, Shaofeng Zou

* Accepted for publication in ICLR 2021 

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Learning Graph Neural Networks with Approximate Gradient Descent


Dec 07, 2020
Qunwei Li, Shaofeng Zou, Wenliang Zhong

* 23 pages, accepted at AAAI 2021 

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Variance-Reduced Off-Policy TDC Learning: Non-Asymptotic Convergence Analysis


Oct 31, 2020
Shaocong Ma, Yi Zhou, Shaofeng Zou

* Accepted for publication in NeurIPS 2020 

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