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# The source code of the "Graph neural networks and deep reinforcement learning in job-shop scheduling" | ||
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To perform any of the experiments you must define the configuration file following examples in `configuration/experiments` folders. | ||
To perform any of the experiments you must define the configuration file following examples in `configuration/experiments/**/emperiment.yml` files. | ||
Then to execute the experiment just call `cli.py`, i.e. | ||
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``` | ||
python cli.py --configuration PATH_TO_EXPERIMENT_FILE | ||
``` | ||
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The results of the tournament runs are stored in the pickled version of the class from `environment/statistics.py`. | ||
To load the file use the `load` method of Statistics class. | ||
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``` | ||
from environment.statistics import Statistics | ||
statistics = Statistics.load(PATH_TO_PICKLED_FILE) | ||
``` | ||
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The requirements of the work are present in `requirements.txt`. | ||
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Trained models and experiment results are available [here](https://campuscvut-my.sharepoint.com/:u:/g/personal/hayeuyur_cvut_cz/EQ7TgHnCjbVIvDmWBltOo5ABQH5YcKSm6CRa0k33InaY8A?e=ul41Pa). |