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policytree

Policy Learning via Doubly Robust Empirical Welfare Maximization over Trees

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.

Versions across snapshots

VersionRepositoryFileSize
1.2.4 rolling linux/jammy R-4.5 policytree_1.2.4.tar.gz 141.5 KiB
1.2.4 rolling linux/noble R-4.5 policytree_1.2.4.tar.gz 142.4 KiB
1.2.4 rolling source/ R- policytree_1.2.4.tar.gz 31.1 KiB
1.2.4 latest linux/jammy R-4.5 policytree_1.2.4.tar.gz 141.5 KiB
1.2.4 latest linux/noble R-4.5 policytree_1.2.4.tar.gz 142.4 KiB
1.2.4 latest source/ R- policytree_1.2.4.tar.gz 31.1 KiB
1.2.4 2026-04-26 source/ R- policytree_1.2.4.tar.gz 31.1 KiB
1.2.4 2026-04-23 source/ R- policytree_1.2.4.tar.gz 31.1 KiB
1.2.4 2026-04-09 windows/windows R-4.5 policytree_1.2.4.zip 462.2 KiB
1.2.3 2025-04-20 source/ R- policytree_1.2.3.tar.gz 30.7 KiB

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