Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Robust Q-learning   Q-learning is a regression-based approach that is widely used to formalize
the development of an optimal dynamic treatment strategy. Finite dimensional
working models are typically used to estimate certain nuisance parameters, and
misspecification of these working models can result in residual confounding
and/or efficiency loss. We propose a robust Q-learning approach which allows
estimating such nuisance parameters using data-adaptive techniques. We study
the asymptotic behavior of our estimators and provide simulation studies that
highlight the need for and usefulness of the proposed method in practice. We
use the data from the "Extending Treatment Effectiveness of Naltrexone"
multi-stage randomized trial to illustrate our proposed methods.

6
The categories of this paper are: astro-ph
4
The categories of this paper are: cond-mat
22
The categories of this paper are: chao-dyn
23
The categories of this paper are: solv-int
8
The categories of this paper are: hep-ex
37
The categories of this paper are: supr-con
36
The categories of this paper are: cmp-lg
15
The categories of this paper are: nucl-ex
5
The categories of this paper are: gr-qc
35
The categories of this paper are: mtrl-th
0
The categories of this paper are: hep-ph
21
The categories of this paper are: adap-org
32
The categories of this paper are: atom-ph
25
The categories of this paper are: patt-sol
9
The categories of this paper are: nlin
11
The categories of this paper are: hep-lat