Author

Rahul Singh

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#machine learning Preprint Sep 2026

Stable Policy Learning

This paper proposes a method for policy learning called policy-vote bagging, which learns treatment decisions on many subsamples then averages their votes into treatment probabilities, which preserves expected welfare and improves expected utility for a risk-averse researcher.

Harvey Barnhard, Giacomo Opocher, Rahul Singh · 0 citations