AlphaGo - Wikipedia
WEBAlphaGo is a computer program that plays the board game Go. [1] It was developed by the London-based DeepMind Technologies, [2] an acquired subsidiary of Google. Subsequent versions of AlphaGo became increasingly powerful, including a version that competed under the name Master. [3]
AlphaGo - Google DeepMind
WEBWe 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 …
AlphaGo: using machine learning to master the ancient game of Go
WEBJan 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 …
AlphaGo Zero: Starting from scratch - Google DeepMind
WEBOct 18, 2017 · The paper introduces AlphaGo Zero, the latest evolution of AlphaGo, the first computer program to defeat a world champion at the ancient Chinese game of Go. Zero is even more powerful and is arguably the strongest Go player in history.
AlphaGo: Mastering the ancient game of Go with Machine Learning
WEBJan 27, 2016 · We started building a system, AlphaGo, described in a paper in Nature this week, that would overcome these barriers. The key to AlphaGo is reducing the enormous search space to something more manageable.
AlphaGo's next move - Google DeepMind
WEBMay 27, 2017 · The research team behind AlphaGo will now throw their energy into the next set of grand challenges, developing advanced general algorithms that could one day help scientists as they tackle some of our most complex problems, such as finding new cures for diseases, dramatically reducing energy …
What we learned in Seoul with AlphaGo - The Keyword
WEBMar 16, 2016 · We first revealed AlphaGo in January—the first AI program that could beat a professional player at the most complex board game mankind has devised, using deep learning and reinforcement learning. The ultimate challenge was for AlphaGo to take on the best Go player of the past decade—Lee Sedol.
AlphaGo’s ultimate challenge: a five-game match against the …
WEBMar 8, 2016 · At the 3-1 match score, AlphaGo has already secured victory in the Google DeepMind Challenge Match, but today’s loss heightens the drama going into the final game, Game Five, which will be played on Tuesday, March 15 at 1pm KST.
Google DeepMind's AlphaGo wins historic Go series 4-1 - WIRED
WEBMar 15, 2016 · The AlphaGo AI, which aims to mimic how a human brain learns, effectively defeated humans at Go by a process of trial and error. It combines advanced search techniques with neural networking,...
Mastering the game of Go without human knowledge | Nature
WEBOct 19, 2017 · Recently, AlphaGo became the first program to defeat a world champion in the game of Go. The tree search in AlphaGo evaluated positions and selected moves using deep neural networks.