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The model folder contains the code of the Python implementation of the simulation.
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The model_cpp folder contains the code of the C++ implementation of the simulation.
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The nnets folder contains the neural networks trained with different algorithms and reward functions as explained in the manuscript.
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The training_logs folder contains the training log files of the four agents described in the manuscript inside zip archives.
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The eval folder contains the performance evaluations of the different agents.
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The tmp folder contains the images created during the evaluation of the agents.
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The misc folder contains files that couldn't be classified in the preceding folders.
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main.py is used to train an agent.
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use_network.py evaluates a neural network using the performance indicators described in the manuscript.