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Game-playing artificial intelligence
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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. It matched AlphaZero's performance in chess and shogi, improved on its performance in Go (setting a new world record), and improved on the state of the art in mastering a suite of 57 Atari games (the Arcade Learning Environment), a visually-complex domain.
MuZero was trained via self-play, with no access to rules, opening books, or endgame tablebases. The trained algorithm used the same convolutional and residual architecture as AlphaZero, but with 20 percent fewer computation steps per node in the search tree.[4]
^Wiggers, Kyle (20 November 2019). "DeepMind's MuZero teaches itself how to win at Atari, chess, shogi, and Go". VentureBeat. Retrieved 22 July 2020.
^Friedel, Frederic. "MuZero figures out chess, rules and all". ChessBase GmbH. Retrieved 22 July 2020.
^Rodriguez, Jesus. "DeepMind Unveils MuZero, a New Agent that Mastered Chess, Shogi, Atari and Go Without Knowing the Rules". KDnuggets. Retrieved 22 July 2020.
MuZero is a computer program developed by artificial intelligence research company DeepMind to master games without knowing their rules. Its release in...
2019, DeepMind published a new paper detailing MuZero, a new algorithm able to generalise AlphaZero's work, playing both Atari and board games without...
and shogi. Like AlphaGo Zero, AlphaZero learned solely through self-play. DeepMind researchers published a new model named MuZero that mastered the domains...
a physical constant, conventionally written as μ0 (pronounced "mu nought" or "muzero"). Its purpose is to quantify the strength of the magnetic field...
Versions AlphaGo (2015) Master (2016) AlphaGo Zero (2017) AlphaZero (2017) MuZero (2019) Competitions Fan Hui (2015) Lee Sedol (2016) Ke Jie (2017) In...
backgammon, and checkers. In addition, with the advent of programs such as MuZero, computer programs also use evaluation functions to play video games, such...
untouched by chess-playing software, although theoretically a program using a MuZero-derived algorithm could handle an unbounded state space. XBoard/Winboard...
additional games, including chess and shogi. AlphaZero has in turn been succeeded by a program known as MuZero which learns without being taught the rules....
developed increasingly generalistic reinforcement learning models, such as with MuZero, which could be trained to play chess, Go, or Atari games. In 2019, DeepMind's...
Ke Jie vs. Lee Sedol film Future of Go Summit AlphaGo Zero AlphaStar AlphaZero Master MuZero WaveNet DoubleClick Firebase Fitbit Tenor Waze YouTube GV...
with programs such as NeuroChess, Morph, Blondie25, Giraffe, AlphaZero, and MuZero, neural networks did not become widely adopted by chess engines until...
existing computer programs for those games, and again improved in 2019 with MuZero. Separately, another milestone was achieved by researchers from Carnegie...
and Cepheus), E-sports (StarCraft), and general game playing (AlphaZero and MuZero). AI has replaced hand-coded algorithms in most chess programs. Unlike...
Chess Zero was adapted from the Leela Zero Go engine, which in turn was based on Google's AlphaGo Zero project. One of the purposes of Leela Chess Zero was...
exhibited at the 48th Geneva Auto Show in 1978. The Dome project, pronounced "do-mu" or "child's dream" in Japanese, was started by Minoru Hayashi in 1975, with...
apply, and using algorithms to compute the most favorable path. AlphaZeroMuZero Artificial general intelligence Artificial intelligence in video games...
of the covers is zero. Let ( X , Σ , μ ) {\displaystyle (X,\Sigma ,\mu )} be a measure space. We have: μ ( ∅ ) = 0 {\displaystyle \mu (\varnothing )=0}...
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