print.policy_tree

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.

Erik Sverdrup

policytree

Policy Learning via Doubly Robust Empirical Welfare Maximization
over Trees

Ayush Kanodia

Zhengyuan Zhou

Susan Athey

Stefan Wager

print.policy_tree function

<dl><dt>x</dt>
<dd>The tree to print.</dd>
<dt>...</dt>
<dd>Additional arguments (currently ignored).</dd></dl>

Arguments

Print a policy_tree object. — print.policy_tree

<dl>

<dt>x</dt>
<dd>The tree to print.</dd>


<dt>...</dt>
<dd>Additional arguments (currently ignored).</dd>

</dl>

Print a policy_tree object.

print.policy_tree: Print a policy_tree object.

Description

Usage

Arguments