Deep Learning: AlphaGo Zero Explained In One Picture

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 100–0, using only 4TPUs instead of 48TPUs and a single neural network instead of two.

Click on the image to zoom in. To read more and access the full cheat sheet, click here.

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Comment by Dimas Cabré i Chacón on May 23, 2018 at 10:05pm

Very good and nice diagram. I have some problems reading it because it doesn't scale well. Do you think you could produce an higher resolution picture or in another format better suited to scale?

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