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CrazyAra

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<ref>[[David Silver]], [[Thomas Hubert]], [[Julian Schrittwieser]], [[Ioannis Antonoglou]], [[Matthew Lai]], [[Arthur Guez]], [[Marc Lanctot]], [[Laurent Sifre]], [[Dharshan Kumaran]], [[Thore Graepel]], [[Timothy Lillicrap]], [[Karen Simonyan]], [[Demis Hassabis]] ('''2018'''). ''[http://science.sciencemag.org/content/362/6419/1140 A general reinforcement learning algorithm that masters chess, shogi, and Go through self-play]''. [https://en.wikipedia.org/wiki/Science_(journal) Science], Vol. 362, No. 6419</ref>,
the goal to train a [[Neural Networks#Deep|deep]] [[Neural Networks#Convolutional|convolutional neural network]] to play [[Crazyhouse]] trained by [[Supervised Learning|supervised learning]] on human data - the initial version of CrazyAra entirely written in [[Python]] <ref>[https://github.com/QueensGambit/CrazyAra GitHub - QueensGambit/CrazyAra: A Deep Learning UCI-Chess Variant Engine written in C++ & Python]</ref>.
In December 2018, CrazyAra won an a five game Crazyhouse online-match versus [https://en.wikipedia.org/wiki/Justin_Tan Justin Tan] aka JannLee with 4-1
<ref>[https://lichess.org/study/uAJmnF3w CrazyAra Crazyhouse]</ref> <ref>[https://zhchess.blogspot.com/2018/12/crazyara-plays-jannlee-for-christmas.html Crazyhouse Chess: CrazyAra plays JannLee for Christmas], December 26, 2018</ref>.

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