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In AlphaZero's chess match against Stockfish 8 (2016 TCEC world champion), each program was given one minute per move. AlphaZero was flying the English flag, while Stockfish the Norwegian. [9] Stockfish was allocated 64 threads and a hash size of 1 GB, [2] a setting that Stockfish's Tord Romstad later criticized as suboptimal.
Leela Chess Zero (abbreviated as LCZero, lc0) is a free, open-source chess engine and volunteer computing project based on Google's AlphaZero engine. It was spearheaded by Gary Linscott , a developer for the Stockfish chess engine , and adapted from the Leela Zero Go engine.
MuZero (MZ) is a combination of the high-performance planning of the AlphaZero (AZ) algorithm with approaches to model-free reinforcement learning. The combination allows for more efficient training in classical planning regimes, such as Go, while also handling domains with much more complex inputs at each stage, such as visual video games.
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.
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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. [54]
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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.
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