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yura-hb authored Jun 3, 2024
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# The source code of the "Graph neural networks and deep reinforcement learning in job-shop scheduling"

**Edit:** Organise the configuration files for better reproducibility of results. Added only configurations from
**Edit:** Organised the configuration files for better reproducibility of results. Added only configurations from
the final steps of the experiments!

To perform any of the experiments you must define the configuration file following examples in `configuration/experiments/**/emperiment.yml` files.
Expand All @@ -23,4 +23,4 @@ statistics = Statistics.load(PATH_TO_PICKLED_FILE)
The requirements of the work are present in `requirements.txt`.

Trained models and experiment results are available [here](https://campuscvut-my.sharepoint.com/:u:/g/personal/hayeuyur_cvut_cz/EQ7TgHnCjbVIvDmWBltOo5ABQH5YcKSm6CRa0k33InaY8A?e=ul41Pa). Additionally, in `evaluation` folder you can find
the results of the tournaments of the trained models.
the results of the tournaments of the trained models.

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