policytree
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Policy learning via doubly robust empirical welfare maximization over trees
I am using policytree, version 1.2.0, and I am specifically trying to implement policy learning on the doubly robust reward estimates derived from an honest causal forest (GRF package). While...
Based on existing [documentation](https://cran.r-project.org/web/packages/policytree/policytree.pdf), I understand that when outputting a policy tree object into a visualization using the **plot.policy_tree** function, one can add the _leaf.labels_ argument to ensure that the...
Hi All, Thanks for writing such a fantastic and well-documented package. I've been working using the package the past few weeks, and I think I might have come across a...
In layman's terms, can you please explain the process through which the policy_tree function inputs the double_robust_scores (i.e., the Gamma.matrix from causal forest that is interpreted as rewards), and uses...