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Code used to run the experiments provided in the ICML submission :

Learning to bid in revenue maximizng auctions.

To rerun the code, we advise to use notebookStrategiesPytorch.ipynb to see how to compute the different strategies in the various settings presented in the paper.

The code uses Python 3.6 and Pytorch 0.4.1.

The networks are defined in

The losses are defined in

The distributions in

One training can be ran wit the main function in

In, you can find how the evaluation process is defined.

All the different settings are defined in notebookStrategiesPytorch.ipynb.

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