AlphaZero is a computer program developed by artificial intelligence research company DeepMind to master the games of chess, shogi and go. This algorithm uses an approach similar to AlphaGo Zero.
On December 5, 2017, the DeepMind team released a preprint paper introducing AlphaZero, which within 24 hours of training achieved a superhuman level of play in these three games by defeating world-champion programs Stockfish, Elmo, and the three-day version of AlphaGo Zero. In each case it made use of custom tensor processing units (TPUs) that the Google programs were optimized to use.[1] AlphaZero was trained solely via self-play using 5,000 first-generation TPUs to generate the games and 64 second-generation TPUs to train the neural networks, all in parallel, with no access to opening books or endgame tables. After four hours of training, DeepMind estimated AlphaZero was playing chess at a higher Elo rating than Stockfish 8; after nine hours of training, the algorithm defeated Stockfish 8 in a time-controlled 100-game tournament (28 wins, 0 losses, and 72 draws).[1][2][3] The trained algorithm played on a single machine with four TPUs.
DeepMind's paper on AlphaZero was published in the journal Science on 7 December 2018;[4] however, the AlphaZero program itself has not been made available to the public.[5] 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 knowledge of the rules or representations of the game.[6]
^ abSilver, David; Hubert, Thomas; Schrittwieser, Julian; Antonoglou, Ioannis; Lai, Matthew; Guez, Arthur; Lanctot, Marc; Sifre, Laurent; Kumaran, Dharshan; Graepel, Thore; Lillicrap, Timothy; Simonyan, Karen; Hassabis, Demis (December 5, 2017). "Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm". arXiv:1712.01815 [cs.AI].
^Knapton, Sarah; Watson, Leon (December 6, 2017). "Entire human chess knowledge learned and surpassed by DeepMind's AlphaZero in four hours". Telegraph.co.uk. Retrieved December 6, 2017.
^Vincent, James (December 6, 2017). "DeepMind's AI became a superhuman chess player in a few hours, just for fun". The Verge. Retrieved December 6, 2017.
^Silver, David; Hubert, Thomas; Schrittwieser, Julian; Antonoglou, Ioannis; Lai, Matthew; Guez, Arthur; Lanctot, Marc; Sifre, Laurent; Kumaran, Dharshan; Graepel, Thore; Lillicrap, Timothy; Simonyan, Karen; Hassabis, Demis (December 7, 2018). "A general reinforcement learning algorithm that masters chess, shogi, and go through self-play". Science. 362 (6419): 1140–1144. Bibcode:2018Sci...362.1140S. doi:10.1126/science.aar6404. PMID 30523106.
^"Chess Terms: AlphaZero". Chess.com. Retrieved July 30, 2022.
uses an approach similar to AlphaGo Zero. On December 5, 2017, the DeepMind team released a preprint paper introducing AlphaZero, which within 24 hours of...
version of AlphaGo Zero that could play chess and Shōgi in addition to Go. In December 2017, AlphaZero beat the 3-day version of AlphaGo Zero by winning...
AlphaGo Zero, which was completely self-taught without learning from human games. AlphaGo Zero was then generalized into a program known as AlphaZero...
of Atari games. The algorithm uses an approach similar to AlphaZero. It matched AlphaZero's performance in chess and shogi, improved on its performance...
than AlphaGo; in comparison, the original AlphaGo needed months to learn how to play. Later that year, AlphaZero, a modified version of AlphaGo Zero but...
reinforcement learning. AlphaDev is based on AlphaZero, a system that mastered the games of chess, shogi and go by self-play. AlphaDev applies the same approach...
verify the methods in the AlphaZero paper as applied to the game of chess. Like Leela Zero and AlphaGo Zero, Leela Chess Zero starts with no intrinsic...
dozen hours that AlphaZero was allowed to train for its chess match in the paper. "Feature: One man's Go program looks to remake AlphaGo Zero - and beyond"...
such as Leela Chess Zero, which began specifically to replicate the AlphaZero paper. The deep neural networks used in AlphaZero's evaluation function...
understand games based on shared properties between them. AlphaZero is a modified version of AlphaGo Zero which is able to play Shogi, chess, and Go. The modified...
Leela Chess Zero, Stockfish, and Komodo have all included neural networks in their engines. Yet the deep reinforcement learning used for AlphaZero remains...
For example, AlphaZero chess has a simple objective function of "+1 if AlphaZero wins, -1 if AlphaZero loses". During the game, AlphaZero attempts to execute...
Vladimir Kramnik and thoroughly explored by DeepMind, the team behind AlphaZero. In this variant, every rule is the same as chess, except that castling...
Street Fighter Alpha: Warriors' Dreams, known as Street Fighter Zero in Japan, Asia, South America, and Oceania, is a 2D arcade fighting game by Capcom...
Street Fighter Alpha 3, released as Street Fighter Zero 3 in Japan, Asia, South America, and Oceania, is a 2D fighting game originally released by Capcom...
learning. AlphaZero, a generalized version of AlphaGo Zero using Monte Carlo tree search, reinforcement learning and deep learning. Leela Chess Zero, a free...
country .az, the country code top level domain for the nation of Azerbaijan AlphaZero, game-playing artificial intelligence Azimuth, the horizontal component...
Arbiter Chess boxing Chess club Chess composer Chess engine AlphaZero Deep Blue Leela Chess Zero Stockfish Chess problem glossary joke chess Chess prodigy...
Street Fighter Alpha 2, known as Street Fighter Zero 2 in Japan, Asia, South America, and Oceania, is a 1996 fighting game originally released for the...
come up with essentially consist of minimizing some objective function." AlphaZero chess had a simple objective function; each win counted as +1 point, and...
said that they were used in the AlphaGo versus Lee Sedol series of man-machine Go games, as well as in the AlphaZero system, which produced Chess, Shogi...
be a major concern in both over-the-board and online chess. In 2017, AlphaZero – a neural network also capable of playing shogi and Go – was introduced...
scientist at Google DeepMind, where he has been involved in the AlphaGo and AlphaZero projects mastering the games of Go, Chess and Shogi. His research...
Google DeepMind AlphaFold AlphaGo vs. Fan Hui vs. Ke Jie vs. Lee Sedol film Future of Go Summit AlphaGo ZeroAlphaStar AlphaZero Master MuZero WaveNet DoubleClick...
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