Google DeepMind AlphaGo Zero

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• Service Capabilities
• Evolutionary Computation / Genetic Algorithms
• Architectures

• Mastering the game of Go without human knowledge | Google DeepMind: David Silver, Julian Schrittwieser, Karen Simonyan, Ioannis Antonoglou, Aja Huang, Arthur Guez, Thomas Hubert, Lucas Baker, Matthew Lai, Adrian Bolton, Yutian Chen, Timothy Lillicrap, Fan Hui, Laurent Sifre, George wan den Driessehe, Thore Graepel, & Demis Hassabis

• AlphaGo Zero Explained In One Diagram | David Foster

Monte Carlo Tree Search

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• Markov Decision Process (MDP)

MiniGo

• MiniGo - TensorFlow | GitHub
• Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm | Google DeepMind 5 Dec 2017

A pure Python implementation of a neural-network based Go AI, using TensorFlow. While inspired by DeepMind's AlphaGo algorithm, this project is not a DeepMind project nor is it affiliated with the official AlphaGo project.