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  2. MuZero - Wikipedia

    en.wikipedia.org/wiki/MuZero

    MuZero is a computer program developed by artificial intelligence research company DeepMind to master games without knowing their rules. [1] [2] [3] Its release in 2019 included benchmarks of its performance in go, chess, shogi, and a standard suite of Atari games. The algorithm uses an approach similar to AlphaZero.

  3. AlphaDev - Wikipedia

    en.wikipedia.org/wiki/AlphaDev

    The game state is the assembly program generated up to a given point. The game move is an extra instruction appended to the current assembly program. The game's reward is a function of the assembly program's correctness and latency. To reduce cost, AlphaDev only computes actual measured latency on less than 0.002% of generated programs, as it ...

  4. Google DeepMind - Wikipedia

    en.wikipedia.org/wiki/Google_DeepMind

    DeepMind Technologies Limited, [1] trading as Google DeepMind or simply DeepMind, is a British-American artificial intelligence research laboratory which serves as a subsidiary of Alphabet Inc. Founded in the UK in 2010, it was acquired by Google in 2014 [8] and merged with Google AI's Google Brain division to become Google DeepMind in April 2023.

  5. 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]

  6. AlphaGo - Wikipedia

    en.wikipedia.org/wiki/AlphaGo

    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]

  7. AlphaZero - Wikipedia

    en.wikipedia.org/wiki/AlphaZero

    AlphaZero ran on a machine with four TPUs in addition to 44 CPU cores. In a 1000-game match, AlphaZero won with a score of 155 wins, 6 losses, and 839 draws. DeepMind also played a series of games using the TCEC opening positions; AlphaZero also won convincingly. Stockfish needed 10-to-1 time odds to match AlphaZero. [23]

  8. 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]

  9. AlphaStar (software) - Wikipedia

    en.wikipedia.org/wiki/AlphaStar_(software)

    AlphaStar is an artificial intelligence (AI) software developed by DeepMind for playing the video game StarCraft II.It was unveiled to the public by name in January 2019. AlphaStar attained "Grandmaster" status in August 2019, a significant milestone not just for AI in video games, but arguably for the field as a wh