Web: http://arxiv.org/abs/2202.10589

June 24, 2022, 1:11 a.m. | Chengchun Shi, Jin Zhu, Ye Shen, Shikai Luo, Hongtu Zhu, Rui Song

stat.ML updates on arXiv.org arxiv.org

This paper is concerned with constructing a confidence interval for a target
policy's value offline based on a pre-collected observational data in infinite
horizon settings. Most of the existing works assume no unmeasured variables
exist that confound the observed actions. This assumption, however, is likely
to be violated in real applications such as healthcare and technological
industries. In this paper, we show that with some auxiliary variables that
mediate the effect of actions on the system dynamics, the target policy's …

arxiv confidence decision interval markov ml policy process

More from arxiv.org / stat.ML updates on arXiv.org

Machine Learning Researcher - Saalfeld Lab

@ Howard Hughes Medical Institute - Chevy Chase, MD | Ashburn, Virginia

Project Director, Machine Learning in US Health

@ ideas42.org | Remote, US

Data Science Intern

@ NannyML | Remote

Machine Learning Engineer NLP/Speech

@ Play.ht | Remote

Research Scientist, 3D Reconstruction

@ Yembo | Remote, US

Clinical Assistant or Associate Professor of Management Science and Systems

@ University at Buffalo | Buffalo, NY