Qi, Zhengling

14 publications

NeurIPS 2025 A Principled Path to Fitted Distributional Evaluation Sungee Hong, Jiayi Wang, Zhengling Qi, Raymond K. W. Wong

NeurIPS 2025 Breaking the Order Barrier: Off-Policy Evaluation for Confounded POMDPs Qi Kuang, Jiayi Wang, Fan Zhou, Zhengling Qi

AISTATS 2025 Distributional Off-Policy Evaluation with Bellman Residual Minimization Sungee Hong, Zhengling Qi, Raymond K. W. Wong

ICML 2024 A Fine-Grained Analysis of Fitted Q-Evaluation: Beyond Parametric Models Jiayi Wang, Zhengling Qi, Raymond K. W. Wong

ICLR 2024 A Policy Gradient Method for Confounded POMDPs Mao Hong, Zhengling Qi, Yanxun Xu

ICML 2024 Model-Based Reinforcement Learning for Confounded POMDPs Mao Hong, Zhengling Qi, Yanxun Xu

AISTATS 2024 Robust Offline Reinforcement Learning with Heavy-Tailed Rewards Jin Zhu, Runzhe Wan, Zhengling Qi, Shikai Luo, Chengchun Shi

NeurIPS 2024 Two-Way Deconfounder for Off-Policy Evaluation in Causal Reinforcement Learning Shuguang Yu, Shuxing Fang, Ruixin Peng, Zhengling Qi, Fan Zhou, Chengchun Shi

AISTATS 2023 Optimizing Pessimism in Dynamic Treatment Regimes: A Bayesian Learning Approach Yunzhe Zhou, Zhengling Qi, Chengchun Shi, Lexin Li

ICML 2023 PASTA: Pessimistic Assortment Optimization Juncheng Dong, Weibin Mo, Zhengling Qi, Cong Shi, Ethan X Fang, Vahid Tarokh

UAI 2023 Pessimistic Model Selection for Offline Deep Reinforcement Learning Chao-Han Huck Yang, Zhengling Qi, Yifan Cui, Pin-Yu Chen

NeurIPS 2022 Off-Policy Evaluation for Episodic Partially Observable Markov Decision Processes Under Non-Parametric Models Rui Miao, Zhengling Qi, Xiaoke Zhang

ICML 2022 On Well-Posedness and Minimax Optimal Rates of Nonparametric Q-Function Estimation in Off-Policy Evaluation Xiaohong Chen, Zhengling Qi

NeurIPS 2022 RISE: Robust Individualized Decision Learning with Sensitive Variables Xiaoqing Tan, Zhengling Qi, Christopher Seymour, Lu Tang