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AlphaGo is a computer program that plays the board game Go. It was developed by the London-based DeepMind Technologies, an acquired subsidiary of Google. Subsequent versions of AlphaGo became increasingly powerful, including a version that competed under the name Master.
Our approach. We created AlphaGo, an AI system that combines deep neural networks with advanced search algorithms. One neural network — known as the “policy network” — selects the next move to play. The other neural network — the “value network” — predicts the winner of the game.
Mar 13, 2020 · AlphaGo - The Movie | Full award-winning documentary - YouTube. Google DeepMind. 483K subscribers. Subscribed. 282K. 35M views 4 years ago. With more board configurations than there are atoms in...
Jan 27, 2016 · We built a system, AlphaGo, that combines an advanced tree search with deep neural networks. These neural networks take a description of the Go board as an input and process it through 12 different network layers containing millions of neuron-like connections.
Oct 19, 2017 · 4910 Citations. 2508 Altmetric. Metrics. A long-standing goal of artificial intelligence is an algorithm that learns, tabula rasa, superhuman proficiency in challenging domains. Recently, AlphaGo...
Mar 16, 2016 · This week saw the end of the historic match between Lee Sedol, one of the world's best Go players, and AlphaGo, an artificially intelligent system designed by a team of researchers at DeepMind, a...
AlphaGo: Mastering the ancient game of Go with Machine Learning. January 27, 2016. Posted by David Silver and Demis Hassabis, Google DeepMind. Games are a great testing ground for developing smarter, more flexible algorithms that have the ability to tackle problems in ways similar to humans.
