2023
Trustworthy Policy Learning under the Counterfactual No-Harm Criterion
ICML 2023poster
Trustworthy policy learning has significant importance in making reliable and harmless treatment decisions for individuals. Previous policy learning approaches aim at the well-being of subgroups by maximizing the utility function (e.g., conditional average causal effects, post-view click-through&con…