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Obstacle Avoidance for UAS in Continuous Action Space Using Deep Reinforcement Learning


Nov 13, 2021
Jueming Hu, Xuxi Yang, Weichang Wang, Peng Wei, Lei Ying, Yongming Liu


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A Provably-Efficient Model-Free Algorithm for Constrained Markov Decision Processes


Jun 03, 2021
Honghao Wei, Xin Liu, Lei Ying


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An Efficient Pessimistic-Optimistic Algorithm for Constrained Linear Bandits


Feb 10, 2021
Xin Liu, Bin Li, Pengyi Shi, Lei Ying


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POND: Pessimistic-Optimistic oNline Dispatch


Oct 20, 2020
Xin Liu, Bin Li, Pengyi Shi, Lei Ying


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FORK: A Forward-Looking Actor For Model-Free Reinforcement Learning


Oct 04, 2020
Honghao Wei, Lei Ying


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Provably-Efficient Double Q-Learning


Jul 09, 2020
Wentao Weng, Harsh Gupta, Niao He, Lei Ying, R. Srikant

* 15 pages, 3 figures, 1 table 

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Finite-Time Performance Bounds and Adaptive Learning Rate Selection for Two Time-Scale Reinforcement Learning


Jul 14, 2019
Harsh Gupta, R. Srikant, Lei Ying

* 17 pages, 3 figures, preprint 

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Finite-Time Error Bounds For Linear Stochastic Approximation and TD Learning


Mar 07, 2019
R. Srikant, Lei Ying

* Fixed a few minor typos and added a reference 

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QuickStop: A Markov Optimal Stopping Approach for Quickest Misinformation Detection


Mar 04, 2019
Honghao Wei, Xiaohan Kang, Weina Wang, Lei Ying


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Collaborative Filtering with Information-Rich and Information-Sparse Entities


Mar 06, 2014
Kai Zhu, Rui Wu, Lei Ying, R. Srikant


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Jointly Clustering Rows and Columns of Binary Matrices: Algorithms and Trade-offs


Feb 04, 2014
Jiaming Xu, Rui Wu, Kai Zhu, Bruce Hajek, R. Srikant, Lei Ying


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