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  2. AlphaZero - Wikipedia

    en.wikipedia.org/wiki/AlphaZero

    AlphaZero ran on a machine with four TPUs in addition to 44 CPU cores. In a 1000-game match, AlphaZero won with a score of 155 wins, 6 losses, and 839 draws. DeepMind also played a series of games using the TCEC opening positions; AlphaZero also won convincingly. Stockfish needed 10-to-1 time odds to match AlphaZero. [23]

  3. 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.

  4. Stockfish (chess) - Wikipedia

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

    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).

  5. TCEC Season 15 - Wikipedia

    en.wikipedia.org/wiki/TCEC_Season_15

    Stockfish finally scored a win in game 35, but failed to hold the reverse game, and after Leela won game 38 the gap widened further to five games. There was a glimmer of hope for Stockfish when it won games 43 and 45 to narrow the gap to 3 points, but Leela scored a decisive victory in games 61 and 62, outplaying Stockfish with both the white ...

  6. AlphaGo Zero - Wikipedia

    en.wikipedia.org/wiki/AlphaGo_Zero

    On 5 December 2017, DeepMind team released a preprint on arXiv, introducing AlphaZero, a program using generalized AlphaGo Zero's approach, which achieved within 24 hours a superhuman level of play in chess, shogi, and Go, defeating world-champion programs, Stockfish, Elmo, and 3-day version of AlphaGo Zero in each case. [8]

  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.

  8. Enjoy classic board games such as Chess, Checkers, Mahjong and more. No download needed, play free card games right now! Browse and play any of the 40+ online card games for free against the AI or ...

  9. Chess.com - Wikipedia

    en.wikipedia.org/wiki/Chess.com

    The top-two engines competed in a "Superfinal" tournament between the two finalists – Stockfish and Houdini. In the 20-game Superfinal, Stockfish won over Houdini with a score 10.5–9.5. Five games were decisive, with 15 ending in a draw. Of the decisive games, three games were won by Stockfish, and two by Houdini. [75] [76]