Dead-end Discovery: How offline reinforcement learning could assist healthcare decision-makers

Microsoft Research Senior Researcher Mehdi Fatemi, MIT Assistant Professor Marzyeh Ghassemi, and PhD student Taylor W. Killian answer several questions about their NeurIPS 2021 paper, “Medical Dead-ends and Learning to Identify High-risk States and Treatments.” They discuss how their research in offline reinforcement learning and their AI model could alert a human decision-maker when a set of decisions are potentially high-risk, such as in healthcare scenarios.

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