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Context matters: using reinforcement learning to develop human-readable, state-dependent outbreak response policies

The number of all possible epidemics of a given infectious disease that could occur on a given landscape is large for systems of real-world complexity. Furthermore, there is no guarantee that the control actions that are optimal, on average, over all possible epidemics are also best for each possibl...

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Bibliographische Detailangaben
Veröffentlicht in:Philos Trans R Soc Lond B Biol Sci
Hauptverfasser: Probert, W. J. M., Lakkur, S., Fonnesbeck, C. J., Shea, K., Runge, M. C., Tildesley, M. J., Ferrari, M. J.
Format: Artigo
Sprache:Inglês
Veröffentlicht: The Royal Society 2019
Schlagworte:
Online Zugang:https://ncbi.nlm.nih.gov/pmc/articles/PMC6558555/
https://ncbi.nlm.nih.gov/pubmed/31104604
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1098/rstb.2018.0277
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