Boosted Off-Policy Learning

Ben London, Levi Lu, Ted Sandler, Thorsten Joachims

Abstract: We propose the first boosting algorithm for off-policy learning from logged bandit feedback. Unlike existing boosting methods for supervised learning, our algorithm directly optimizes an estimate o...