Balanced Policy Evaluation and Learning

NeurIPS 2018 Nathan Kallus

We present a new approach to the problems of evaluating and learning personalized decision policies from observational data of past contexts, decisions, and outcomes. Only the outcome of the enacted decision is available and the historical policy is unknown... (read more)

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