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r-policytree

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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) <arXiv:1810.04778> in the case where we want to learn policies that belong to the class of depth k decision trees.

Installation

To install this package, run one of the following:

Conda
$conda install conda-forge::r-policytree

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Summary

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) <arXiv:1810.04778> in the case where we want to learn policies that belong to the class of depth k decision trees.

Last Updated

Feb 18, 2026 at 10:31

License

GPL-3.0-only

Total Downloads

68.9K

Version Downloads

164

Supported Platforms

macOS-64
win-64
linux-64