1 citations · 1 across the 4 of their papers we have counts for
4 papers
Learning from the Unseen: Offline Reinforcement Learning with Hidden Actions
Zeyu Bian, Ying Zhou, Yifan Cui
Standard offline reinforcement learning (RL) algorithms typically assume that the actions in the dataset are observed without error. However, in many real-world applications, the t…
Off-policy Evaluation in Doubly Inhomogeneous Environments
Zeyu Bian, Chengchun Shi, Zhengling Qi +1
This work aims to study off-policy evaluation (OPE) under scenarios where two key reinforcement learning (RL) assumptions -- temporal stationarity and individual homogeneity are bo…
Variable Selection for Individualized Treatment Rules with Discrete Outcomes
Zeyu Bian, Erica EM Moodie, Susan M Shortreed +2
An individualized treatment rule (ITR) is a decision rule that aims to improve individual patients health outcomes by recommending optimal treatments according to patients specific…
Variable Selection in Regression-based Estimation of Dynamic Treatment Regimes
Zeyu Bian, Erica EM Moodie, Susan M Shortreed +1
Dynamic treatment regimes (DTRs) consist of a sequence of decision rules, one per stage of intervention, that finds effective treatments for individual patients according to patien…