Implementation of RegretNet with Pytorch

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Deep LearningAutomated-mechanism-design
Overview

Dependencies are Python 3, a recent PyTorch, numpy/scipy, tqdm, future and tensorboard.

Plotting with Matplotlib.

Implementation of the neural network is in the module regretnet.

To train and test auction networks, use the scripts train.py and test.py; sample_scripts.sh gives some examples of how to invoke these.

Pretrained models are in the model directory.

Owner
Horris zhGu
working on Data Science
Horris zhGu
GitHub Repository
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