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Technical University of Crete
Technical University of Crete
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| URI | http://purl.tuc.gr/dl/dias/C9BB7DEE-71F9-4898-8B28-CC31F0E9A92D | - |
| Identifier | https://doi.org/10.26233/heallink.tuc.67085 | - |
| Language | el | - |
| Extent | 76 σελίδες | el |
| Title | Systematic search and reinforcement learning for the board game ''Turning Points'' | en |
| Title | Συστηματική αναζήτηση και ενισχυτική μάθηση για το επιτραπέζιο παιχνίδι ''Turning Points'' | el |
| Creator | Vagenas Sotirios | en |
| Creator | Βαγενας Σωτηριος | el |
| Contributor [Thesis Supervisor] | Lagoudakis Michael | en |
| Contributor [Thesis Supervisor] | Λαγουδακης Μιχαηλ | el |
| Contributor [Committee Member] | Chalkiadakis Georgios | en |
| Contributor [Committee Member] | Χαλκιαδακης Γεωργιος | el |
| Contributor [Committee Member] | Deligiannakis Antonios | en |
| Contributor [Committee Member] | Δεληγιαννακης Αντωνιος | el |
| Publisher | Πολυτεχνείο Κρήτης | el |
| Publisher | Technical University of Crete | en |
| Academic Unit | Πολυτεχνείο Κρήτης::Σχολή Ηλεκτρολόγων Μηχανικών και Μηχανικών Υπολογιστών | el |
| Content Summary | Games have always been one of the main forms of entertainment for people. They combine fun, spiritual growth and skill development. For these reasons, games constitute one of the most important areas of research and application of Artificial Intelligence and Machine Learning. This thesis focuses on the board game “Turning Points”. This is a challenging two-player 4 Χ 4 square board game, in which each move corresponds to the placement of a directed arrow to an empty position, possibly causing some rotations of the existing arrows. The goal of the thesis is the design of an agent for the game Turning Points, who will learn to play and improve against various opponents. The implementation of the agent combines the Minimax with alpha-beta Pruning search technique, an evaluation function and the reinforcement learning algorithm TD-Learning. The combination of these elements results in the extraction of several competitive players, as evidenced by the experimental evaluation procedure. These players faced human players competitively and efficiently. Interestingly, they also remain competitive in larger boards compared to the basic one in which they have been trained. Finally, a graphical user interface was implemented to enable game playing with users. | en |
| Type of Item | Διπλωματική Εργασία | el |
| Type of Item | Diploma Work | en |
| License | http://creativecommons.org/licenses/by-sa/4.0/ | en |
| Date of Item | 2016-11-28 | - |
| Date of Publication | 2016 | - |
| Subject | Τεχνητή νοημοσύνη | el |
| Subject | Μηχανική μάθηση | el |
| Bibliographic Citation | Sotirios Vagenas, "Systematic search and reinforcement learning for the board game ''Turning Points''", Diploma Work, School of Electrical and Computer Engineering, Technical University of Crete, Chania, Greece, 2016 | en |
| Bibliographic Citation | Σωτήριος Βαγενάς, "Συστηματική αναζήτηση και ενισχυτική μάθηση για το επιτραπέζιο παιχνίδι ''Turning Points''", Διπλωματική Εργασία, Σχολή Ηλεκτρολόγων Μηχανικών και Μηχανικών Υπολογιστών, Πολυτεχνείο Κρήτης, Χανιά, Ελλάς, 2016 | el |
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