Zhengling Qi

According to our database, Zhengling Qi authored at least 32 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Distributional Off-policy Evaluation with Bellman Residual Minimization.

Sungee Hong, Zhengling Qi, Raymond K. W. Wong

CoRR, 2024

A Fine-grained Analysis of Fitted Q-evaluation: Beyond Parametric Models.

Jiayi Wang, Zhengling Qi, Raymond K. W. Wong

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Model-based Reinforcement Learning for Confounded POMDPs.

Mao Hong, Zhengling Qi, Yanxun Xu

Proceedings of the Forty-first International Conference on Machine Learning, 2024

A Policy Gradient Method for Confounded POMDPs.

Mao Hong, Zhengling Qi, Yanxun Xu

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Robust Offline Reinforcement Learning with Heavy-Tailed Rewards.

Jin Zhu, Runzhe Wan, Zhengling Qi, Shikai Luo, Chengchun Shi

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

Robust Offline Policy Evaluation and Optimization with Heavy-Tailed Rewards.

Jin Zhu, Runzhe Wan, Zhengling Qi, Shikai Luo, Chengchun Shi

CoRR, 2023

Off-policy Evaluation in Doubly Inhomogeneous Environments.

Zeyu Bian, Chengchun Shi, Zhengling Qi, Lan Wang

CoRR, 2023

Sequential Knockoffs for Variable Selection in Reinforcement Learning.

Tao Ma, Hengrui Cai, Zhengling Qi, Chengchun Shi, Eric B. Laber

CoRR, 2023

Personalized Pricing with Invalid Instrumental Variables: Identification, Estimation, and Policy Learning.

Rui Miao, Zhengling Qi, Cong Shi, Lin Lin

CoRR, 2023

STEEL: Singularity-aware Reinforcement Learning.

Xiaohong Chen, Zhengling Qi, Runzhe Wan

CoRR, 2023

Value Enhancement of Reinforcement Learning via Efficient and Robust Trust Region Optimization.

Chengchun Shi, Zhengling Qi, Jianing Wang, Fan Zhou

CoRR, 2023

Pessimistic Model Selection for Offline Deep Reinforcement Learning.

Chao-Han Huck Yang, Zhengling Qi, Yifan Cui, Pin-Yu Chen

Proceedings of the Uncertainty in Artificial Intelligence, 2023

PASTA: Pessimistic Assortment Optimization.

Juncheng Dong, Weibin Mo, Zhengling Qi, Cong Shi, Ethan X. Fang, Vahid Tarokh

Proceedings of the International Conference on Machine Learning, 2023

Optimizing Pessimism in Dynamic Treatment Regimes: A Bayesian Learning Approach.

Yunzhe Zhou, Zhengling Qi, Chengchun Shi, Lexin Li

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

Asymptotic Properties of Stationary Solutions of Coupled Nonconvex Nonsmooth Empirical Risk Minimization.

Zhengling Qi, Ying Cui, Yufeng Liu, Jong-Shi Pang

Math. Oper. Res., 2022

Offline Reinforcement Learning for Human-Guided Human-Machine Interaction with Private Information.

Zuyue Fu, Zhengling Qi, Zhuoran Yang, Zhaoran Wang, Lan Wang

CoRR, 2022

Blessing from Experts: Super Reinforcement Learning in Confounded Environments.

Jiayi Wang, Zhengling Qi, Chengchun Shi

CoRR, 2022

Offline Reinforcement Learning with Instrumental Variables in Confounded Markov Decision Processes.

Zuyue Fu, Zhengling Qi, Zhaoran Wang, Zhuoran Yang, Yanxun Xu, Michael R. Kosorok

CoRR, 2022

RISE: Robust Individualized Decision Learning with Sensitive Variables.

Xiaoqing Tan, Zhengling Qi, Christopher W. Seymour, Lu Tang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Off-Policy Evaluation for Episodic Partially Observable Markov Decision Processes under Non-Parametric Models.

Rui Miao, Zhengling Qi, Xiaoke Zhang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

On Well-posedness and Minimax Optimal Rates of Nonparametric Q-function Estimation in Off-policy Evaluation.

Xiaohong Chen, Zhengling Qi

Proceedings of the International Conference on Machine Learning, 2022

2021

Rejoinder: Learning Optimal Distributionally Robust Individualized Treatment Rules.

Weibin Mo, Zhengling Qi, Yufeng Liu

CoRR, 2021

Projected State-action Balancing Weights for Offline Reinforcement Learning.

Jiayi Wang, Zhengling Qi, Raymond K. W. Wong

CoRR, 2021

Proximal Learning for Individualized Treatment Regimes Under Unmeasured Confounding.

Zhengling Qi, Rui Miao, Xiaoke Zhang

CoRR, 2021

2020

Robust Batch Policy Learning in Markov Decision Processes.

Zhengling Qi, Peng Liao

CoRR, 2020

Learning Optimal Distributionally Robust Individualized Treatment Rules.

Weibin Mo, Zhengling Qi, Yufeng Liu

CoRR, 2020

2019

Some Contributions to Data Driven Individualized Decision Making Problems.

Zhengling Qi

PhD thesis, 2019

Convex Bidirectional Large Margin Classifiers.

Zhengling Qi, Yufeng Liu

Technometrics, 2019

Estimation of Individualized Decision Rules Based on an Optimized Covariate-Dependent Equivalent of Random Outcomes.

Zhengling Qi, Ying Cui, Yufeng Liu, Jong-Shi Pang

SIAM J. Optim., 2019

How Mega Is the Mega? Exploring the Spillover Effects of WeChat Using Graphical Model.

Jinyang Zheng, Zhengling Qi, Yifan Dou, Yong Tan

Inf. Syst. Res., 2019

Statistical Analysis of Stationary Solutions of Coupled Nonconvex Nonsmooth Empirical Risk Minimization.

Zhengling Qi, Ying Cui, Yufeng Liu, Jong-Shi Pang

CoRR, 2019

2015

Multivariate and Categorical Analysis of Gaming Statistics.

Pin-Yu Chen, Zhengling Qi, Yanxin Pan, Shin-Ming Cheng

Proceedings of the 18th International Conference on Network-Based Information Systems, 2015