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A Reinforcement Learning Approach to Estimating Long-term Treatment Effects


Oct 14, 2022
Ziyang Tang, Yiheng Duan, Stephanie Zhang, Lihong Li


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Understanding Domain Randomization for Sim-to-real Transfer


Oct 07, 2021
Xiaoyu Chen, Jiachen Hu, Chi Jin, Lihong Li, Liwei Wang


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A Map of Bandits for E-commerce


Jul 01, 2021
Yi Liu, Lihong Li

* Accepted by KDD Bandit and RL workshop: https://sites.google.com/view/marble-kdd/ 

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On the Optimality of Batch Policy Optimization Algorithms


Apr 06, 2021
Chenjun Xiao, Yifan Wu, Tor Lattimore, Bo Dai, Jincheng Mei, Lihong Li, Csaba Szepesvari, Dale Schuurmans

* 29 pages, 8 figures 

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Near-optimal Representation Learning for Linear Bandits and Linear RL


Feb 08, 2021
Jiachen Hu, Xiaoyu Chen, Chi Jin, Lihong Li, Liwei Wang


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CoinDICE: Off-Policy Confidence Interval Estimation


Oct 22, 2020
Bo Dai, Ofir Nachum, Yinlam Chow, Lihong Li, Csaba Szepesvári, Dale Schuurmans

* To appear at NeurIPS 2020 as spotlight 

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Neural Thompson Sampling


Oct 02, 2020
Weitong Zhang, Dongruo Zhou, Lihong Li, Quanquan Gu

* 32 pages, 2 tables, 4 figures 

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Efficient Reinforcement Learning in Factored MDPs with Application to Constrained RL


Sep 15, 2020
Xiaoyu Chen, Jiachen Hu, Lihong Li, Liwei Wang


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Off-policy Evaluation in Infinite-Horizon Reinforcement Learning with Latent Confounders


Jul 27, 2020
Andrew Bennett, Nathan Kallus, Lihong Li, Ali Mousavi


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