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The AlphaGo Zero Cheat Sheet (high-res link below)

Download the AlphaGo Zero cheat sheet

Recently Google DeepMind announced AlphaGo Zero an extraordinary achievement that has shown how it is possible to train an agent to a superhuman level in the highly complex and challenging domain of Go, tabula rasa that is, from a blank slate, with no human expert play used as training data.

It thrashed the previous reincarnation 1000, using only 4TPUs instead of 48TPUs and a single neural network instead of two.

The paper that the cheat sheet is based on was published in Nature and is available here. I highly recommend you read it, as it explains in detail how deep learning and Monte Carlo Tree Search are combined to produce a powerful reinforcement learning algorithm.

Hopefully you find the AlphaGo Zero cheat sheet useful let me know if you find any typos or have questions about anything in the document.

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Read more here:
AlphaGo Zero Explained In One Diagram | by David Foster - Medium