Skip to content

policytree

Policy Learning via Doubly Robust Empirical Welfare Maximization over Trees

v1.2.4 · Feb 17, 2026 · MIT + file LICENSE

Description

Learn optimal policies via doubly robust empirical welfare maximization over trees. Given doubly robust reward estimates, this package finds a rule-based treatment prescription policy, where the policy takes the form of a shallow decision tree that is globally (or close to) optimal.

Downloads

3.2K

Last 30 days

2305th

8.9K

Last 90 days

16.9K

Last year

Trend: +5% (30d vs prior 30d)

CRAN Check Status

14 OK
Show all 14 flavors
Flavor Status
r-devel-linux-x86_64-debian-clang OK
r-devel-linux-x86_64-debian-gcc OK
r-devel-linux-x86_64-fedora-clang OK
r-devel-linux-x86_64-fedora-gcc OK
r-devel-macos-arm64 OK
r-devel-windows-x86_64 OK
r-oldrel-macos-arm64 OK
r-oldrel-macos-x86_64 OK
r-oldrel-windows-x86_64 OK
r-patched-linux-x86_64 OK
r-release-linux-x86_64 OK
r-release-macos-arm64 OK
r-release-macos-x86_64 OK
r-release-windows-x86_64 OK

Check History

OK 14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 10, 2026

Reverse Dependencies (5)

suggests

Dependency Network

Dependencies Reverse dependencies Rcpp grf EpiForsk forestsearch polle fastpolicytree grf policytree

Version History

new 1.2.4 Mar 10, 2026
updated 1.2.4 ← 1.2.3 diff Feb 17, 2026
updated 1.2.3 ← 1.2.2 diff Jun 13, 2024
updated 1.2.2 ← 1.2.1 diff Jun 22, 2023
updated 1.2.1 ← 1.2.0 diff Nov 19, 2022
updated 1.2.0 ← 1.1.1 diff Mar 17, 2022
updated 1.1.1 ← 1.1.0 diff Jul 6, 2021
updated 1.1.0 ← 1.0.4 diff Jun 23, 2021
updated 1.0.4 ← 1.0.3 diff Mar 9, 2021
updated 1.0.3 ← 1.0.2 diff Sep 12, 2020
updated 1.0.2 ← 1.0.1 diff Sep 8, 2020
updated 1.0.1 ← 1.0 diff Jul 12, 2020
updated 1.0 ← 0.9.2 diff Jun 21, 2020
updated 0.9.2 ← 0.9.1 diff Mar 20, 2020
updated 0.9.1 ← 0.9.0 diff Mar 19, 2020
new 0.9.0 Jan 15, 2020