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Code to recreate AlphaGo Zero models

alphago

This repo contains Keras code to recreate the neural network model used in DeepMind's AlphaGo Zero

See:

https://deepmind.com/blog/alphago-zero-learning-scratch/

http://nature.com/articles/doi:10.1038/nature24270

TODO

It makes sense to reconstruct a minimally-working original code

What is missing right now:

  • MCTS procedure
  • Data processing procedures (encode the game into a tensor)
  • The full proc that starts from a random state and incorporates a MCTS/update-NN to obtain better policies

Feel free to make pull-requests :)

INSTALL

pip install -r requirements.txt