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Off-Policy Confidence Interval Estimation with Confounded Markov Decision Process


Mar 12, 2022
Chengchun Shi, Jin Zhu, Ye Shen, Shikai Luo, Hongtu Zhu, Rui Song


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Reinforcement Learning in Possibly Nonstationary Environments


Mar 03, 2022
Mengbing Li, Chengchun Shi, Zhenke Wu, Piotr Fryzlewicz


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Statistically Efficient Advantage Learning for Offline Reinforcement Learning in Infinite Horizons


Feb 26, 2022
Chengchun Shi, Shikai Luo, Hongtu Zhu, Rui Song


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Policy Evaluation for Temporal and/or Spatial Dependent Experiments in Ride-sourcing Platforms


Feb 22, 2022
Shikai Luo, Ying Yang, Chengchun Shi, Fang Yao, Jieping Ye, Hongtu Zhu


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A Multi-Agent Reinforcement Learning Framework for Off-Policy Evaluation in Two-sided Markets


Feb 21, 2022
Chengchun Shi, Runzhe Wan, Ge Song, Shikai Luo, Rui Song, Hongtu Zhu


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Jump Interval-Learning for Individualized Decision Making


Nov 17, 2021
Hengrui Cai, Chengchun Shi, Rui Song, Wenbin Lu


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A Minimax Learning Approach to Off-Policy Evaluation in Partially Observable Markov Decision Processes


Nov 12, 2021
Chengchun Shi, Masatoshi Uehara, Nan Jiang


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Pattern Transfer Learning for Reinforcement Learning in Order Dispatching


Jun 18, 2021
Runzhe Wan, Sheng Zhang, Chengchun Shi, Shikai Luo, Rui Song

* Spotlight paper, RL4ITS, IJCAI-21 

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Deeply-Debiased Off-Policy Interval Estimation


Jun 07, 2021
Chengchun Shi, Runzhe Wan, Victor Chernozhukov, Rui Song


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Testing Directed Acyclic Graph via Structural, Supervised and Generative Adversarial Learning


Jun 02, 2021
Chengchun Shi, Yunzhe Zhou, Lexin Li


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Deep Jump Q-Evaluation for Offline Policy Evaluation in Continuous Action Space


Oct 29, 2020
Hengrui Cai, Chengchun Shi, Rui Song, Wenbin Lu


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Double Generative Adversarial Networks for Conditional Independence Testing


Jun 03, 2020
Chengchun Shi, Tianlin Xu, Wicher Bergsma, Lexin Li


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A Reinforcement Learning Framework for Time-Dependent Causal Effects Evaluation in A/B Testing


Feb 10, 2020
Chengchun Shi, Xiaoyu Wang, Shikai Luo, Rui Song, Hongtu Zhu, Jieping Ye


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Does the Markov Decision Process Fit the Data: Testing for the Markov Property in Sequential Decision Making


Feb 05, 2020
Chengchun Shi, Runzhe Wan, Rui Song, Wenbin Lu, Ling Leng


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Robust Learning for Optimal Treatment Decision with NP-Dimensionality


Oct 15, 2015
Chengchun Shi, Rui Song, Wenbin Lu


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