convert into the 2d space implement

• [done]run with inital implement
• [done]find the regret net data
• [done]comment the regret net module
• [done]generate our 2d data
• [done]modify the train and test loop
• [pick]use checkpoint to plot the heatmap
• [pick]record the total stats and plot
• [pick]write the experiment part according to the regretnet nm

first get the totally full with the code and the

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.