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2. AlphaZero - Wikipedia

   en.wikipedia.org/wiki/AlphaZero

   AlphaZero (AZ) is a more generalized variant of the AlphaGo Zero (AGZ) algorithm, and is able to play shogi and chess as well as Go. Differences between AZ and AGZ include: [ 2 ] AZ has hard-coded rules for setting search hyperparameters .

3. AlphaGo - Wikipedia

   en.wikipedia.org/wiki/AlphaGo

   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]

4. Leela Chess Zero - Wikipedia

   en.wikipedia.org/wiki/Leela_Chess_Zero

   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.

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7. MuZero - Wikipedia

   en.wikipedia.org/wiki/MuZero

   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.

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9. No Castling Chess - Wikipedia

   en.wikipedia.org/wiki/No_Castling_Chess

   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.