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=Features=
YaneuraOu applies a Shogi adaptation of [[Stockfish|Stockfish's]] search, and can be combined with third party [[Evaluation|evaluations]], such as [[Elmo]] and [[Apery]] <ref>[https://www.uuunuuun.com/single-post/2017/12/09/how-to-install-yaneuraou-engine-with-third-party-evaluation-fileopening-book How to install Yaneuraou with third party evaluation files/opening books and Gikou2]</ref>.
At the [[WCSC29]], it used a [[NNUE]] type of evaluation developed by [[Tanu-King]] team member [[Yu Nasu]] <ref>[https://www.apply.computer-shogi.org/wcsc29/appeal/YaneuraOu/appeal.txt wcsc29/YaneuraOu/appeal.txt]</ref>. One of the characteristics of the NNUE type is that the number of parameters of the evaluation function is smaller than [[Bonanza|BonanzBonanza's]] [[Bonanza#Description|KPPT]] type. Since the number of training phases required for [[Reinforcement Learning|reinforcement learning]] is considered to be approximately proportional to the number of parameters
of the evaluation function, the NNUE type should require fewer training phases than the KPPT type.
