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Code and data for "Stochastic Optimal Control of Epidemic Processes in Networks", ML4H at NeurIPS 2018

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Networks-Learning/disease-control

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disease-control

This is the code for the simulation of the project on disease control with SDEs with jumps. The following describes the different files and how they interact.

Installation

To run the experiment notebooks, first install the internal library using:

python setup.py install -e .

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Code and data for "Stochastic Optimal Control of Epidemic Processes in Networks", ML4H at NeurIPS 2018

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