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.

Package details

AuthorErik Sverdrup [aut, cre], Ayush Kanodia [aut], Zhengyuan Zhou [aut], Susan Athey [aut], Stefan Wager [aut]
MaintainerErik Sverdrup <erik.sverdrup@monash.edu>
LicenseMIT + file LICENSE
URL https://github.com/grf-labs/policytree
Package repositoryView on CRAN
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policytree documentation built on June 22, 2024, 9:47 a.m.