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  2. Stockfish (chess) - Wikipedia

    en.wikipedia.org/wiki/Stockfish_(chess)

    On 30 May 2014, Stockfish 170514 (a development version of Stockfish 5 with tablebase support) convincingly won TCEC Season 6, scoring 35.5–28.5 against Komodo 7x in the Superfinal. [37] Stockfish 5 was released the following day. [38] In TCEC Season 7, Stockfish again made the Superfinal, but lost to Komodo with a score of 30.5–33.5. [37]

  3. AlphaZero - Wikipedia

    en.wikipedia.org/wiki/AlphaZero

    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). [2] [3] [4] The trained algorithm played on a single machine with four TPUs.

  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.

  5. Komodo (chess) - Wikipedia

    en.wikipedia.org/wiki/Komodo_(chess)

    A single-processor version of Komodo (which won the CCT15 tournament in February earlier that year) was released as a stand-alone product shortly before the 5.1 MP release. This version, named Komodo CCT , was still based on the older C code, and was approximately 30 Elo stronger than the 5.1 MP version, as the latter was still undergoing ...

  6. Computer chess - Wikipedia

    en.wikipedia.org/wiki/Computer_chess

    Efficiently updatable neural networks were originally developed in computer shogi in 2018 by Yu Nasu, [61] [62] and had to be first ported to a derivative of Stockfish called Stockfish NNUE on 31 May 2020, [63] and integrated into the official Stockfish engine on 6 August 2020, [64] [65] before other chess programmers began to adopt neural ...

  7. Performance rating (chess) - Wikipedia

    en.wikipedia.org/wiki/Performance_rating_(chess)

    Performance rating (abbreviated as Rp) in chess is the level a player performed at in a tournament or match based on the number of games played, their total score in those games, and the Elo ratings of their opponents. It is the Elo rating a player would have if their performance resulted in no net rating change.

  8. Chess rating system - Wikipedia

    en.wikipedia.org/wiki/Chess_rating_system

    The authors used the program Crafty and argued that even a lower-ranked program (Elo around 2700) could identify good players. [19] In their follow-up study, they used Rybka 3 to estimate chess player ratings. [20] In 2017, Jean-Marc Alliot compared players using Stockfish 6 with an ELO rating around 3300, well above top human players. [21]

  9. Endgame tablebase - Wikipedia

    en.wikipedia.org/wiki/Endgame_tablebase

    The intended main line was 1. Ne3! Rxh2 2. 0-0-0# A tablebase discovered that 1. h4 also wins for White in 33 moves, even though Black can capture the pawn (which is not the best move – in case of capturing the pawn black loses in 21 moves, while Kh1-g2 loses in 32 moves).