Difference between revisions of "Masatoshi Hidaka"

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He is further author of the [[AlphaZero]] like approach ''NeneShogi'' <ref>[https://www.qhapaq.org/shogi/shogiwiki/softs/neneshogi/ ねね将棋 - django-\/\/ i K] (NeneShogi)</ref> <ref>[https://www.apply.computer-shogi.org/wcsc28/team.html 第28回世界コンピュータ将棋選手権 参加チーム wcsc28]</ref>,
 
He is further author of the [[AlphaZero]] like approach ''NeneShogi'' <ref>[https://www.qhapaq.org/shogi/shogiwiki/softs/neneshogi/ ねね将棋 - django-\/\/ i K] (NeneShogi)</ref> <ref>[https://www.apply.computer-shogi.org/wcsc28/team.html 第28回世界コンピュータ将棋選手権 参加チーム wcsc28]</ref>,
 
combining [[Deep Learning|deep learning]] with [[Monte-Carlo Tree Search|Monte-Carlo tree search]] <ref>[https://github.com/select766/neneshogi GitHub - select766/neneshogi: NEural NEtwork Shogi]</ref> <ref>[https://github.com/select766/neneshogi_wcsc28_YaneuraOu GitHub - select766/neneshogi_wcsc28_YaneuraOu]</ref>,
 
combining [[Deep Learning|deep learning]] with [[Monte-Carlo Tree Search|Monte-Carlo tree search]] <ref>[https://github.com/select766/neneshogi GitHub - select766/neneshogi: NEural NEtwork Shogi]</ref> <ref>[https://github.com/select766/neneshogi_wcsc28_YaneuraOu GitHub - select766/neneshogi_wcsc28_YaneuraOu]</ref>,
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and the related ''TensorrtShogi''' <ref>[https://github.com/select766/tensorrt-shogi GitHub - select766/tensorrt-shogi: 将棋AI向けにTensorRTを動作させる]</ref> using [[Nvidia|Nvidia's]] ''TensorRT 7'' <ref>[https://docs.nvidia.com/deeplearning/tensorrt/release-notes/tensorrt-7.html Release Notes :: NVIDIA Deep Learning TensorRT Documentation]</ref>.
+
and the related ''TensorrtShogi'' <ref>[https://github.com/select766/tensorrt-shogi GitHub - select766/tensorrt-shogi: 将棋AI向けにTensorRTを動作させる]</ref> using [[Nvidia|Nvidia's]] ''TensorRT 7'' <ref>[https://docs.nvidia.com/deeplearning/tensorrt/release-notes/tensorrt-7.html Release Notes :: NVIDIA Deep Learning TensorRT Documentation]</ref>.
  
 
=Selected Publications=
 
=Selected Publications=

Revision as of 11:42, 1 August 2020

Home * People * Masatoshi Hidaka

Masatoshi Hidaka, (日高雅俊)
a Japanese computer scientist, software engineer, and computer Shogi programmer. He is affiliated with the Machine Intelligence Laboratory, University of Tokyo [1], where his research interests include computer vision and deep learning. He is co-author of WebDNN, an open source software framework for executing deep neural network (DNN) pre-trained model on web browser [2] [3].

Shogi

Masatoshi Hidaka is author and co-author of various Shogi playing programs, and member of their corresponding development teams. In 2016, his first Shogi programming involvement was with Tanuki no Mori as member of the Tanuki no Mori Production Committee along with Hisayori Noda, Jun Okabe, and Takahiro Suzuki [4]. Subsequent teams were The Minstrel's Ballad: Tanuki's Reign with Yu Nasu and at times Akio Kono joining [5] [6], and Ziosoft Computer Shogi Club, with the World Computer Shogi Championship entries of Shouten Gensou Knights of Tanuki (2017) [7], the end of genesis T.N.K.evolution turbo type D (2018) [8] [9] and the 29th World Computer Shogi Champion [10] YaneuraOu [11] [12]. He is further author of the AlphaZero like approach NeneShogi [13] [14], combining deep learning with Monte-Carlo tree search [15] [16], and the related TensorrtShogi [17] using Nvidia's TensorRT 7 [18].

Selected Publications

[19]

External Links

References

  1. ↑ Machine Intelligence Laboratory (The University of Tokyo)'s Repositories - Libraries.io
  2. ↑ MIL WebDNN
  3. ↑ mil-tokyo/webdnn - Libraries.io
  4. ↑ 第26回世界コンピュータ将棋選手権 参加チーム 26th World Computer Shogi Championship participating teams
  5. ↑ WCSC26 participation list by Reijer Grimbergen, SHOGI-L, April 08, 2016
  6. ↑ The 27th World Computer Shogi Championship: participant list by Takenobu Takizawa, SHOGI-L, April 17, 2017
  7. ↑ 第27回世界コンピュータ将棋選手権 参加チーム wcsc27
  8. ↑ 第28回世界コンピュータ将棋選手権 参加チーム wcsc28
  9. ↑ Installation instruction of shogi engines, May 28, 2019
  10. ↑ 第29回世界コンピュータ将棋選手権 wcsc29
  11. ↑ やねうら王 公式サイト | コンピューター将棋 やねうら王 公式サイト
  12. ↑ GitHub - yaneurao/YaneuraOu: YaneuraOu is the World's Strongest Shogi engine(AI player), WCSC29 1st winner, educational and USI compliant engine
  13. ↑ ねね将棋 - django-\/\/ i K (NeneShogi)
  14. ↑ 第28回世界コンピュータ将棋選手権 参加チーム wcsc28
  15. ↑ GitHub - select766/neneshogi: NEural NEtwork Shogi
  16. ↑ GitHub - select766/neneshogi_wcsc28_YaneuraOu
  17. ↑ GitHub - select766/tensorrt-shogi: 将棋AI向けにTensorRTを動作させる
  18. ↑ Release Notes :: NVIDIA Deep Learning TensorRT Documentation
  19. ↑ dblp: Masatoshi Hidaka
  20. ↑ GitHub - mil-tokyo/webdnn: The Fastest DNN Running Framework on Web Browser

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