Evaluation of Active Feature Acquisition Methods for Static Feature Settings

no code implementations • 6 Dec 2023 • Henrik von Kleist, Alireza Zamanian, Ilya Shpitser, Narges Ahmidi

These estimators can be applied when the missingness in the retrospective dataset follows a missing-at-random (MAR) pattern.

Offline RL reinforcement-learning +1

Evaluation of Active Feature Acquisition Methods for Time-varying Feature Settings

no code implementations • 3 Dec 2023 • Henrik von Kleist, Alireza Zamanian, Ilya Shpitser, Narges Ahmidi

We show that one can apply offline reinforcement learning under the NUC assumption and missing data methods under the NDE assumption.

reinforcement-learning