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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>,
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>,
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=
