Kristallweizen

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Home * Engines * Kristallweizen

Kristallweizen and Hefeweizen (right) [1]

Kristallweizen,
a Shogi engine, or more precisely a Shogi evaluation function by team Barrel house, a beer bar in front of the Okayama station [2], due to the developers around Seiji Shiba, Mitsunori Matsushita and Yasuhiro Tajima [3]. Kristallweizen became runner-up at the WCSC29 in 2019, where it run in the Amazon Elastic Compute Cloud and applied multi pondering. Kristallweizen is a NNUE HalfKP-256x2-32-32 type of evaluation function, used within YaneuraOu's search, a Shogi adaptation of Stockfish's search. Further CSA available engines and libraries used to train and prepare Kristallweizen mentioned on the WCSC29 site [4] were Apery, Tanuki, Qhapaq, Elmo, dlshogi [5], python-shogi [6] and the Android Go Player No. 18 [7]. Kristallweizen may also used with Dolphin, also based on YaneuraOu's (version 4.82) search [8] [9].

Hefeweizen

Kristallweizen's forerunner, the more unfiltered Hefeweizen uses an Apery type of KPP/KKP indexed Piece-Square Tables approach, initially introduced by Bonanza, Hefeweizen won the WCSC28 in 2018, also on the Amazon Elastic Compute Cloud with multi ponder [10].

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External Links

Shogi Engine

Misc

References

  1. ↑ A photograph of two varieties of wheat beer: Kristallweizen (left) and Hefeweizen (right), filtered and unfiltered German wheat beers
  2. ↑ Beer Bar Barrel house - Facebook
  3. ↑ The 29th World Computer Shogi Championship Applicant List by Reijer Grimbergen on behalf of Takenobu Takizawa, SHOGI-L, February 03, 2019
  4. ↑ 第29回世界コンピュータ将棋選手権 - 29th World Computer Shogi Championship
  5. ↑ GitHub - TadaoYamaoka/python-dlshogi
  6. ↑ GitHub - gunyarakun/python-shogi: A pure Python shogi library with move generation and validation and handling of common formats.
  7. ↑ 人造棋士１８号 - django-\/\/ i K | Android Go Player No.18
  8. ↑ Re: Strongest free shogi engine? by km0010, Reddit
  9. ↑ 使用ソフト | shogi-engines
  10. ↑ 第28回世界コンピュータ将棋選手権 - 28th World Computer Shogi Championship

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