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Guidelines for reinforcement learning in healthcare

In this Comment, we provide guidelines for reinforcement learning for decisions about patient treatment that we hope will accelerate the rate at which observational cohorts can inform healthcare practice in a safe, risk-conscious manner.

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Fig. 1: Sequential decision-making tasks.

Debbie Maizels/Springer Nature

Fig. 2: Effective sample size in off-policy evaluation.

Debbie Maizels/Springer Nature

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Correspondence to Leo Anthony Celi.

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A.A.F. has received funding from Fresenius-KABI in the past.

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Gottesman, O., Johansson, F., Komorowski, M. et al. Guidelines for reinforcement learning in healthcare. Nat Med 25, 16–18 (2019). https://doi.org/10.1038/s41591-018-0310-5

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