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  2. AlphaGo (film) - Wikipedia

    en.wikipedia.org/wiki/AlphaGo_(film)

    AlphaGo earned positive reviews. On Rotten Tomatoes, the film has an approval rating of 100%, with an average score of 8/10, based on 10 reviews. [4] Charlotte O'Sullivan of Evening Standard gave the film 4 stars out of five, calling it a "gripping, emotional documentary, which gets us thinking, about thinking, in a whole new way".

  3. AlphaGo - Wikipedia

    en.wikipedia.org/wiki/AlphaGo

    AlphaGo is a computer program that plays the board ... one of the Deep Mind team, ... On Rotten Tomatoes the documentary has an average rating of 100% from 10 reviews.

  4. AlphaGo Zero - Wikipedia

    en.wikipedia.org/wiki/AlphaGo_Zero

    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 ]

  5. AlphaGo versus Lee Sedol - Wikipedia

    en.wikipedia.org/wiki/AlphaGo_versus_Lee_Sedol

    AlphaGo versus Lee Sedol, also known as the DeepMind Challenge Match, was a five-game Go match between top Go player Lee Sedol and AlphaGo, a computer Go program developed by DeepMind, played in Seoul, South Korea between 9 and 15 March 2016. AlphaGo won all but the fourth game; [1] all games were won by resignation. [2]

  6. AlphaZero - Wikipedia

    en.wikipedia.org/wiki/AlphaZero

    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. The neural network is now updated continually. AZ doesn't use symmetries, unlike AGZ.

  7. AlphaGo versus Fan Hui - Wikipedia

    en.wikipedia.org/wiki/AlphaGo_versus_Fan_Hui

    AlphaGo versus Fan Hui was a five-game Go match between European champion Fan Hui, a 2-dan (out of 9 dan possible) professional, and AlphaGo, a computer Go program developed by DeepMind, held at DeepMind's headquarters in London in October 2015. [1]

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