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authorThibaut Horel <thibaut.horel@gmail.com>2022-06-28 14:09:48 -0400
committerThibaut Horel <thibaut.horel@gmail.com>2022-06-28 14:09:48 -0400
commitcfa796e938b546102028a7fbae77ef1244fd68d3 (patch)
tree355879ec76dbb7ee5f5cbe527d4feafdf418f372
parentccf3cbba55b30241a32f06edead25f4a99973c3c (diff)
downloadreviews-cfa796e938b546102028a7fbae77ef1244fd68d3.tar.gz
AOAS 2103-005, third revision
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+\documentclass[11pt]{article}
+\usepackage[T1]{fontenc}
+\usepackage[utf8]{inputenc}
+\usepackage[hmargin=1.2in, vmargin=1.2in]{geometry}
+\usepackage{amsmath,amsfonts}
+
+\title{\vspace{-2em}\large Review of \emph{A Multi-Agent Reinforcement Learning
+ Framework\\ for Off-Policy Evaluation in Two-Sided Markets}}
+ \author{Submission \textsf{2103--005} to the \emph{Annals of Applied Statistics},
+2\textsuperscript{nd} revision}
+
+\begin{document}
+
+\maketitle
+
+I would like to thank the authors for adequately addressing my comments by
+correcting the derivation in Appendix C as well as adding Figure 1 in Appendix
+E. I have no further comments at this point and recommend publication as is.
+
+%\bibliographystyle{plain}
+%\bibliography{main}
+
+\end{document}