Latest revision as of 15:16, 24 May 2021

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Maximilian Langer,
a German computer scientist and student at TU Darmstadt. In his 2021 B.Sc. thesis, he elaborates on supervised deep learning methods along with Monte-Carlo Tree Search, and gives a detailed description of the chess variant engine CrazyAra by co-advisor and primary author Johannes Czech, and its instrumentalization to play Chinese Chess (Xiangqi) ^[1].

Publications

Maximilian Langer (2021). Evaluation of Monte-Carlo Tree Search for Xiangqi. B.Sc. thesis, advisors Kristian Kersting and Johannes Czech, TU Darmstadt, pdf » Xiangqi

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 '''Maximilian Langer''',<br/>
 a German computer scientist and student at [[Darmstadt University of Technology|TU Darmstadt]].
-In his 2021 B.Sc. thesis, he elaborates on [[Supervised Learning|supervised]] [[Deep Learning|deep learning]] methods to play [[Chinese Chess]], [[Monte-Carlo Tree Search]], and the [[Chess#Variants|chess variant]] engine [[CrazyAra]] by co-advisor and primary author [[Johannes Czech]] <ref> [[Maximilian Langer]] ('''2021'''). ''Evaluation of Monte-Carlo Tree Search for Xiangqi''. B.Sc. thesis, [[Darmstadt University of Technology|TU Darmstadt]]</ref>
+In his 2021 B.Sc. thesis, he elaborates on [[Supervised Learning|supervised]] [[Deep Learning|deep learning]] methods along with [[Monte-Carlo Tree Search]], and gives a detailed description of the [[Chess#Variants|chess variant]] engine [[CrazyAra]] by co-advisor and primary author [[Johannes Czech]], and its instrumentalization to play [[Chinese Chess]] (Xiangqi) <ref> [[Maximilian Langer]] ('''2021'''). ''Evaluation of Monte-Carlo Tree Search for Xiangqi''. B.Sc. thesis, [[Darmstadt University of Technology|TU Darmstadt]]</ref>.
 =Publications=