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arXiv · 2506.15435

Fast Learning of Optimal Policy Trees

James Cussens·Julia Hatamyar·Vishalie Shah·Noemi Kreif
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Abstract

We develop and implement a version of the popular "policytree" method (Athey and Wager, 2021) using discrete optimisation techniques. We test the performance of our algorithm in finite samples and find an improvement in the runtime of optimal policy tree learning by a factor of nearly 50 compared to the original version. We provide an R package, "fastpolicytree", for public use.

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BibTeXRIS

James Cussens, Julia Hatamyar, Vishalie Shah, Noemi Kreif. 2025-06-18. Fast Learning of Optimal Policy Trees. https://arxiv.org/abs/2506.15435

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