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[[FILE:Ara chloroptera -Brookfield Zoo-8.jpg|border|right|thumb| [https://en.wikipedia.org/wiki/Red-and-green_macaw Ara chloropterus] <ref>[https://en.wikipedia.org/wiki/Red-and-green_macaw Red-and-green macaw] in [https://en.wikipedia.org/wiki/Brookfield_Zoo Brookfield Zoo], [https://commons.wikimedia.org/wiki/File:Ara_chloroptera_-Brookfield_Zoo-8.jpg Photo] by [https://www.flickr.com/photos/22321795@N04 Nimesh M], July 05, 2008, [https://en.wikipedia.org/wiki/Wikimedia_Commons Wikimedia Commons]</ref> ]]

CrazyAra started as a [https://en.wikipedia.org/wiki/Academic_term#Synonyms semester] project by [[Johannes Czech]], [[Moritz Willig]] and [[Alena Beyer]] for the course ''Deep Learning: Methods and Architectures'' at the [[Darmstadt University of Technology|TU Darmstadt]] in summer 2018, headed by [[Kristian Kersting]] and [[Johannes Fürnkranz]].

The project was inspired by the [[Deep Learning|deep learning]] and [[Monte-Carlo Tree Search|MCTS]] techniques described in [[DeepMind|DeepMind's]] [[AlphaZero]] papers

<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>.

As subject of his master thesis <ref>[[Johannes Czech]] ('''2019'''). ''Deep Reinforcement Learning for Crazyhouse''. Master thesis, [[Darmstadt University of Technology|TU Darmstadt]], [https://ml-research.github.io/papers/czech2019deep.pdf pdf]</ref>,

Johannes Czech continued the development in porting the engine to [[Cpp|C++]] and to further apply [[Reinforcement Learning|reinforcement learning]] to Crazyhouse and other chess variants including [[Chess960]].

While the initial version uses [[Python-chess]] by [[Niklas Fiekas]], the C++ version uses a multi variant [[Stockfish]] fork by [[Daniel Dugovic]] <ref>[https://github.com/ddugovic/Stockfish GitHub - ddugovic/Stockfish: BETA multi-variant fork of popular UCI chess engine; final release for now]</ref>

for [[Move Generation|move generation]], [[Board Representation|board representation]] and [[Syzygy Bases|Syzygy]] parsing.

=Network=

=ClassicAra=

=See also=

=Publications=

* [[Johannes Czech]], [[Moritz Willig]], [[Alena Beyer]], [[Kristian Kersting]], [[Johannes Fürnkranz]] ('''2019'''). ''Learning to play the Chess Variant Crazyhouse above World Champion Level with Deep Neural Networks and Human Data''. [https://arxiv.org/abs/1908.06660 arXiv:1908.06660]

* [[Johannes Czech]], [[Moritz Willig]], [[Alena Beyer]], [[Kristian Kersting]], [[Johannes Fürnkranz]] ('''2020'''). ''[https://www.frontiersin.org/articles/10.3389/frai.2020.00024/full Learning to Play the Chess Variant Crazyhouse Above World Champion Level With Deep Neural Networks and Human Data]''. [https://www.frontiersin.org/journals/artificial-intelligence# Frontiers in Artificial Intelligence]

* [[Johannes Czech]], [[Patrick Korus]], [[Kristian Kersting]] ('''2020'''). ''Monte-Carlo Graph Search for AlphaZero''. [https://arxiv.org/abs/2012.11045 arXiv:2012.11045]

=Forum Posts=

* [http://www.talkchess.com/forum3/viewtopic.php?f=2&t=76209&start=199 Re: New engine releases & news 2021] by [[Günther Simon]], [[CCC]], April 05, 2021

* [http://www.talkchess.com/forum3/viewtopic.php?f=2&t=77020 ClassicAra Chess Engine..World Record Download!!] by supersharp77, [[CCC]], April 06, 2021

=External Links=

* [https://crazyara.org/ CrazyAra - Crazyhouse Chess Engine]

* [https://rise-of-light.de/projects/crazyara.html Rise of light - CrazyAra - Chess Engine]

* [https://github.com/QueensGambit/CrazyAra GitHub - QueensGambit/CrazyAra: A Deep Learning UCI-Chess Variant Engine written in C++ & Python]

* [https://github.com/QueensGambit/CrazyAra/wiki Home · QueensGambit/CrazyAra Wiki · GitHub]

* [https://github.com/QueensGambit/CrazyAra-Engine GitHub - QueensGambit/CrazyAra-Engine: CrazyAra - A Deep Learning UCI-Chess Variant Engine written in C++]

==Misc==

* [https://en.wikipedia.org/wiki/Ara_(bird) Ara (bird) from Wikipedia]

* [https://en.wikipedia.org/wiki/Ara Ara from Wikipedia]

=References=

[[Category:Crazyhouse]]

[[Category:Chess960]]

[[Category:PC]]

[[Category:Windows]]

[[Category:Linux]]

[[Category:Mac]]

[[Category:Bird]]