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AlphaGo 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 Zero is a version of DeepMind's Go software AlphaGo.AlphaGo's team published an article in Nature in October 2017 introducing AlphaGo Zero, a version created without using data from human games, and stronger than any previous version. [1]
AlphaZero (AZ) is a more generalized variant of the AlphaGo Zero (AGZ) algorithm, and is able to play shogi and chess as well as Go. Differences between AZ and AGZ include: [ 2 ] AZ has hard-coded rules for setting search hyperparameters .
Huang joined DeepMind in 2012 and became a member of AlphaGo project in 2014. [2] [3] He is one of the first authors of DeepMind's paper on AlphaGo Fan in 2016 [5] and a major author of the paper on AlphaGo Zero in 2017. [6] During the 2016 match AlphaGo v. Lee Sedol and the 2017 Future of Go Summit, Huang placed stones on the Go board for ...
On 4 January 2017, after these games were completed, Demis Hassabis, the co-founder of DeepMind, confirmed that Magister and Master both played using an updated version of AlphaGo [8] [9] and said, "We're looking forward to playing some official, full-length games later [in 2017] in collaboration with Go organizations and experts".
His recent work has focused on combining reinforcement learning with deep learning, including a program that learns to play Atari games directly from pixels. [12] Silver led the AlphaGo project, culminating in the first program to defeat a top professional player in the full-size game of Go. [ 13 ]
Fine Art (Chinese: 绝艺; pinyin: Jué Yì) is a Go-playing computer program created by Chinese media company Tencent.. Development reportedly started [1] in early 2016, around the time AlphaGo's successes, first against Fan Hui and later against Lee Sedol, showed that deep-learning neural networks combined with Monte Carlo algorithms were effective in computer Go.
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