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learninghospital

Combining Deep RL and SimPy models of hospital systems

DOI

Run on BinderHub:

Binder

Set up environment locally

To get the correct libraries and versions it is recommended that the provided conda environment is used. To create and activate the rlsimpy environment used:

To create environment. Navigate to the binder folder.

conda env create -f environment.yml

To activate environment:

conda activate rlsimpy

To deactivate:

conda deactivate

To update environment (from updated yml file):

conda env update --prefix ./env --file environment.yml --prune

To remove the environemnt:

conda env remove -n rlsimpy