Understanding AlphaGo How AI beat us in Go — game of profound complexity

One of required skills as an Artificial Intelligence engineer is ability to understand and explain highly technical research papers in this field. One of my projects as a student in AI Nanodegree classes is an analysis of seminal paper in the field of Game-Playing. The target of my analysis was Nature’s paper about technical side of AlphaGo — Google Deepmind system which for the first time in history beat elite professional Go player, winning by 5 games to 0 with European Go champion — Fan Hui.

The goal of this summary (and my future publications) is to make this knowledge widely understandable, especially for those who are just starting the journey in field of AI or those who doesn’t have any experience in this area at all.

The original paper — Mastering the game of Go with deep neural networks and tree search:

http://www.nature.com/nature/journal/v529/n7587/full/nature16961.htm

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