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Thread: AlphaZero, general reinforcement learning algorithm, Google DeepMind, London, United Kingdom

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    AlphaZero, general reinforcement learning algorithm, Google DeepMind, London, United Kingdom

    Developer - Google DeepMind

    chessprogramming.org/AlphaZero

    AlphaZero on Wikipedia

    AlphaGo, computer Go program

    MuZero, gaming program

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    Article "Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm"

    by David Silver, Thomas Hubert, Julian Schrittwieser, Ioannis Antonoglou, Matthew Lai, Arthur Guez, Marc Lanctot, Laurent Sifre, Dharshan Kumaran, Thore Graepel, Timothy Lillicrap, Karen Simonyan, Demis Hassabis
    December 5, 2017

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    Article "AlphaZero AI beats champion chess program after teaching itself in four hours"
    Google’s artificial intelligence sibling DeepMind repurposes Go-playing AI to conquer chess and shogi without aid of human knowledge

    by Samuel Gibbs
    December 7, 2017

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    Article "Alpha Zero’s “Alien” Chess Shows the Power, and the Peculiarity, of AI"
    The latest advance from DeepMind behaves in a very surprising way. Expect other AI systems to be just as odd.

    by Will Knight
    December 8, 2017

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    AlphaZero: Shedding new light on the grand games of chess, shogi and Go

    Published on Dec 6, 2018

    DeepMind's AlphaZero is the successor of AlphaGo, the first computer program to beat a world champion at the ancient game of Go. It taught itself from scratch how to master the games of chess, shogi and Go, beating a world-champion program in each case and discovering new and creative playing strategies that hint at the potential of these systems to tackle other complex problems.

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