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<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>.
=Continuation=
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.
To feature more chess variants, more recently [[Fairy-Stockfish]] by [[Fabian Fichter]] was incorporated <ref>[https://github.com/QueensGambit/CrazyAra/releases Releases · QueensGambit/CrazyAra · GitHub]</ref>,
as for instance used in [[Maximilian Langer|Maximilian Langer's]] [[Chinese Chess|Xiangqi]] version of CrazyAra <ref>[[Maximilian Langer]] ('''2021'''). ''Evaluation of Monte-Carlo Tree Search for Xiangqi''. B.Sc. thesis, [[Darmstadt University of Technology|TU Darmstadt]], [https://ml-research.github.io/papers/langer2021xiangqi.pdf pdf]</ref>.
=Network=
