Classic Card Games
Thesis title in Czech: | Klasické karetní hry |
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Thesis title in English: | Classic Card Games |
Key words: | hraní klasických karetních her, umělý hráč, klient/server aplikace, framework, knihovna |
English key words: | playing classic card games, artificial player, client/server application, framework, library |
Academic year of topic announcement: | 2016/2017 |
Thesis type: | Bachelor's thesis |
Thesis language: | angličtina |
Department: | Department of Software and Computer Science Education (32-KSVI) |
Supervisor: | Mgr. Jakub Gemrot, Ph.D. |
Author: | Mgr. Jakub Mifek - assigned and confirmed by the Study Dept. |
Date of registration: | 02.11.2016 |
Date of assignment: | 02.11.2016 |
Confirmed by Study dept. on: | 19.12.2016 |
Date and time of defence: | 06.09.2018 09:00 |
Date of electronic submission: | 20.07.2018 |
Date of submission of printed version: | 20.07.2018 |
Date of proceeded defence: | 06.09.2018 |
Opponents: | Mgr. Michal Bída, Ph.D. |
Guidelines |
Cílem práce je vytvořit klient/server framework pro implementaci klasických karetních her. Součástí práce je podpora umělých hráčů pro dané karetní hry. Framework bude předveden na implementaci vícero (alespoň pěti) karetních her včetně umělých hráčů. |
References |
Russel & Norvig: Artificial Intelligence: A Modern Approach, 3rd Prentice Hall Press Upper Saddle River, NJ, USA ©2009, ISBN:0136042597 9780136042594
Daniel Whitehouse: Monte Carlo Tree Search for games with Hidden Information and Uncertainty. In: PhD Thesis, University of York, Computer Science, 2014. Nathan R. Sturtevant and Adam M. White: Feature Construction for Reinforcement Learning in Hearts. In: Computers and Games, LCNS 4630, Springer-Verlag, pp 122-134, ISBN: 978-3-540-75537-1 (2015) |