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...
Main Authors: | Probert, W, Lakkur, S, Fonnesbeck, C, Shea, K, Runge, M, Tildesley, M, Ferrari, M |
---|---|
Format: | Journal article |
Language: | English |
Published: |
Royal Society Publishing
2019
|
Similar Items
-
Essential information: Uncertainty and optimal control of Ebola outbreaks.
by: Li, S, et al.
Published: (2017) -
Real-time decision-making during emergency disease outbreaks
by: Probert, W, et al.
Published: (2018) -
Quantifying the value of perfect information in emergency vaccination campaigns
by: Bradbury, N, et al.
Published: (2017) -
Decision-making for foot-and-mouth disease control: Objectives matter
by: William J.M. Probert, et al.
Published: (2016-06-01) -
The association between audit firm attributes and key audit matters readability
by: Norazian Hussin, et al.
Published: (2023-11-01)