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In 100 games from the normal starting position, AlphaZero won 25 games as White, won 3 as Black, and drew the remaining 72. [11] In a series of twelve, 100-game matches (of unspecified time or resource constraints) against Stockfish starting from the 12 most popular human openings, AlphaZero won 290, drew 886 and lost 24. [2]
Leela vs Stockfish, CCCC bonus games, 1–0 Leela beats the world champion Stockfish engine despite a one-pawn handicap. Stockfish vs Leela Chess Zero – TCEC S15 Superfinal – Game 61 Leela completely outplays Stockfish with black pieces in the Trompovsky attack. Leela's eval went from 0.1 to −1.2 in one move, and Stockfish's eval did not ...
In December 2017, AlphaZero beat the 3-day version of AlphaGo Zero by winning 60 games to 40, and with 8 hours of training it outperformed AlphaGo Lee on an Elo scale. AlphaZero also defeated a top chess program ( Stockfish ) and a top Shōgi program ( Elmo ).
This essentially meant AlphaZero could learn chess by itself. The initial tests with AlphaZero were staggering; in a 100 game match against the current strongest engine Stockfish, AlphaZero won 28 games and tied the remaining 72. [12] In many ways AlphaZero served not only as a breakthrough for chess computing, but for the AI world in general.
By January 2019, Leela was able to defeat the version of Stockfish that played AlphaZero (Stockfish 8) in a 100-game match. An updated version of Stockfish narrowly defeated Leela Chess Zero in the superfinal of the 14th TCEC season, 50.5–49.5 (+10 =81 −9), [37] but lost the Superfinal of the next season to Leela 53.5–46.5 (+14 =79 -7).
In a paper released on arXiv on 5 December 2017, DeepMind claimed that it generalized AlphaGo Zero's approach into a single AlphaZero algorithm, which achieved within 24 hours a superhuman level of play in the games of chess, shogi, and Go by defeating world-champion programs, Stockfish, Elmo, and 3-day version of AlphaGo Zero in each case.
No Castling Chess is a variation of the game of chess invented by the former world chess champion Vladimir Kramnik and thoroughly explored by DeepMind, the team behind AlphaZero. [1] In this variant, every rule is the same as chess, except that castling is not allowed.
In early 2018, another team branched Leela Chess Zero from the same code base, also to verify the methods in the AlphaZero paper as applied to the game of chess. AlphaZero's use of Google TPUs was replaced by a crowd-sourcing infrastructure and the ability to use graphics card GPUs via the OpenCL library.