Policy Learning via Doubly Robust Empirical Welfare Maximization over Trees

Learn optimal policies via doubly robust empirical welfare maximization over trees. This package implements the multi-action doubly robust approach of Zhou, Athey and Wager (2018) in the case where we want to learn policies that belong to the class of depth k decision trees.


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install.packages("policytree")

1.0.3 by Erik Sverdrup, a month ago


https://github.com/grf-labs/policytree


Browse source code at https://github.com/cran/policytree


Authors: Zhengyuan Zhou [aut] , Susan Athey [aut] , Stefan Wager [aut] , Ayush Kanodia [aut] , Erik Sverdrup [cre]


Documentation:   PDF Manual  


GPL-3 license


Imports Rcpp, grf

Suggests testthat, DiagrammeR

Linking to Rcpp, BH


See at CRAN