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Johannes Czech

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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]].
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=Selected Publications=
<ref>[https://dblp.org/pid/247/6412.html dblp: Johannes Czech]</ref>
==2019==
* [[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]
* [[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]
==2020 ...==
* [[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]

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