Zhengling Qi

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 37

Top Topics

Markov Decision Process

Empirical Risk Minimization

Reinforcement Learning

Bellman Residual

Top Venues

Publications

Sungee Hong, Zhengling Qi, Raymond K. W. Wong
Distributional Off-policy Evaluation with Bellman Residual Minimization. CoRR (2024)
Mao Hong, Zhengling Qi, Yanxun Xu
A Policy Gradient Method for Confounded POMDPs. ICLR (2024)
Jin Zhu, Runzhe Wan, Zhengling Qi, Shikai Luo, Chengchun Shi
Robust Offline Reinforcement Learning with Heavy-Tailed Rewards. AISTATS (2024)
Chengchun Shi, Zhengling Qi, Jianing Wang, Fan Zhou
Value Enhancement of Reinforcement Learning via Efficient and Robust Trust Region Optimization. CoRR (2023)
Juncheng Dong, Weibin Mo, Zhengling Qi, Cong Shi, Ethan X. Fang, Vahid Tarokh
PASTA: Pessimistic Assortment Optimization. CoRR (2023)
Tao Ma, Hengrui Cai, Zhengling Qi, Chengchun Shi, Eric B. Laber
Sequential Knockoffs for Variable Selection in Reinforcement Learning. CoRR (2023)
Jin Zhu, Runzhe Wan, Zhengling Qi, Shikai Luo, Chengchun Shi
Robust Offline Policy Evaluation and Optimization with Heavy-Tailed Rewards. CoRR (2023)
Zeyu Bian, Chengchun Shi, Zhengling Qi, Lan Wang
Off-policy Evaluation in Doubly Inhomogeneous Environments. CoRR (2023)
Juncheng Dong, Weibin Mo, Zhengling Qi, Cong Shi, Ethan X. Fang, Vahid Tarokh
PASTA: Pessimistic Assortment Optimization. ICML (2023)
Chao-Han Huck Yang, Zhengling Qi, Yifan Cui, Pin-Yu Chen
Pessimistic Model Selection for Offline Deep Reinforcement Learning. UAI (2023)
Mao Hong, Zhengling Qi, Yanxun Xu
A Policy Gradient Method for Confounded POMDPs. CoRR (2023)
Xiaohong Chen, Zhengling Qi, Runzhe Wan
Singularity-aware Reinforcement Learning. CoRR (2023)
Yunzhe Zhou, Zhengling Qi, Chengchun Shi, Lexin Li
Optimizing Pessimism in Dynamic Treatment Regimes: A Bayesian Learning Approach. AISTATS (2023)
Rui Miao, Zhengling Qi, Cong Shi, Lin Lin
Personalized Pricing with Invalid Instrumental Variables: Identification, Estimation, and Policy Learning. CoRR (2023)
Yunzhe Zhou, Zhengling Qi, Chengchun Shi, Lexin Li
Optimizing Pessimism in Dynamic Treatment Regimes: A Bayesian Learning Approach. CoRR (2022)
Zuyue Fu, Zhengling Qi, Zhuoran Yang, Zhaoran Wang, Lan Wang
Offline Reinforcement Learning for Human-Guided Human-Machine Interaction with Private Information. CoRR (2022)
Zhengling Qi, Ying Cui, Yufeng Liu, Jong-Shi Pang
Asymptotic Properties of Stationary Solutions of Coupled Nonconvex Nonsmooth Empirical Risk Minimization. Math. Oper. Res. 47 (3) (2022)
Rui Miao, Zhengling Qi, Xiaoke Zhang
Off-Policy Evaluation for Episodic Partially Observable Markov Decision Processes under Non-Parametric Models. NeurIPS (2022)
Jiayi Wang, Zhengling Qi, Chengchun Shi
Blessing from Experts: Super Reinforcement Learning in Confounded Environments. CoRR (2022)
Xiaohong Chen, Zhengling Qi
On Well-posedness and Minimax Optimal Rates of Nonparametric Q-function Estimation in Off-policy Evaluation. ICML (2022)
Xiaoqing Tan, Zhengling Qi, Christopher W. Seymour, Lu Tang
RISE: Robust Individualized Decision Learning with Sensitive Variables. CoRR (2022)
Xiaoqing Tan, Zhengling Qi, Christopher W. Seymour, Lu Tang
RISE: Robust Individualized Decision Learning with Sensitive Variables. NeurIPS (2022)
Xiaohong Chen, Zhengling Qi
On Well-posedness and Minimax Optimal Rates of Nonparametric Q-function Estimation in Off-policy Evaluation. CoRR (2022)
Zuyue Fu, Zhengling Qi, Zhaoran Wang, Zhuoran Yang, Yanxun Xu, Michael R. Kosorok
Offline Reinforcement Learning with Instrumental Variables in Confounded Markov Decision Processes. CoRR (2022)
Rui Miao, Zhengling Qi, Xiaoke Zhang
Off-Policy Evaluation for Episodic Partially Observable Markov Decision Processes under Non-Parametric Models. CoRR (2022)
Jiayi Wang, Zhengling Qi, Raymond K. W. Wong
Projected State-action Balancing Weights for Offline Reinforcement Learning. CoRR (2021)
Chao-Han Huck Yang, Zhengling Qi, Yifan Cui, Pin-Yu Chen
Pessimistic Model Selection for Offline Deep Reinforcement Learning. CoRR (2021)
Zhengling Qi, Rui Miao, Xiaoke Zhang
Proximal Learning for Individualized Treatment Regimes Under Unmeasured Confounding. CoRR (2021)
Weibin Mo, Zhengling Qi, Yufeng Liu
Rejoinder: Learning Optimal Distributionally Robust Individualized Treatment Rules. CoRR (2021)
Weibin Mo, Zhengling Qi, Yufeng Liu
Learning Optimal Distributionally Robust Individualized Treatment Rules. CoRR (2020)
Zhengling Qi, Peng Liao
Robust Batch Policy Learning in Markov Decision Processes. CoRR (2020)
Zhengling Qi, Ying Cui, Yufeng Liu, Jong-Shi Pang
Estimation of Individualized Decision Rules Based on an Optimized Covariate-Dependent Equivalent of Random Outcomes. SIAM J. Optim. 29 (3) (2019)
Jinyang Zheng, Zhengling Qi, Yifan Dou, Yong Tan
How Mega Is the Mega? Exploring the Spillover Effects of WeChat Using Graphical Model. Inf. Syst. Res. 30 (4) (2019)
Zhengling Qi, Ying Cui, Yufeng Liu, Jong-Shi Pang
Statistical Analysis of Stationary Solutions of Coupled Nonconvex Nonsmooth Empirical Risk Minimization. CoRR (2019)
Zhengling Qi, Yufeng Liu
Convex Bidirectional Large Margin Classifiers. Technometrics 61 (2) (2019)
Zhengling Qi, Ying Cui, Yufeng Liu, Jong-Shi Pang
Estimation of Individualized Decision Rules Based on an Optimized Covariate-Dependent Equivalent of Random Outcomes. CoRR (2019)
Pin-Yu Chen, Zhengling Qi, Yanxin Pan, Shin-Ming Cheng
Multivariate and Categorical Analysis of Gaming Statistics. NBiS (2015)