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Title:Računalniški igralec šaha po metodologiji AlphaZero : magistrsko delo
Authors:ID Piko, Tomaž (Author)
ID Strnad, Damjan (Mentor) More about this mentor... New window
ID Kohek, Štefan (Comentor)
Files:.pdf MAG_Piko_Tomaz_2025.pdf (3,04 MB)
MD5: DD872D1BB09B854F42C9B10D8202EB2E
 
Language:Slovenian
Work type:Master's thesis/paper
Typology:2.09 - Master's Thesis
Organization:FERI - Faculty of Electrical Engineering and Computer Science
Abstract:V magistrskem delu predstavljamo implementacijo lastnega računalniškega igralca šaha po metodologiji AlphaZero, ki se igre nauči brez predhodnega znanja z igranjem proti samemu sebi. V prvem delu na kratko predstavimo zgodovino računalniškega igranja šaha ter izvedemo pregled osnovnih pristopov šahovskih pogonov. Drugi del zajema implementacijo, učenje in preverjanje delovanja računalniškega igralca. Računalniški igralec je dosegel 2144 točk ELO v igrah z igralnim časom ene minute in 1976 točk ELO v kategoriji s časom treh minut, kar ustreza nivoju močnega amaterskega igralca.
Keywords:šah, računalniški igralec, šahovski pogoni, iskalna drevesa, nevronske mreže
Place of publishing:Maribor
Place of performance:Maribor
Publisher:[T. Piko]
Year of publishing:2025
Number of pages:1 spletni vir (1 datoteka PDF (XI, 70 str.))
PID:20.500.12556/DKUM-95448 New window
UDC:004.8:[004.96:794.1](043.2)
COBISS.SI-ID:256168195 New window
Publication date in DKUM:17.10.2025
Views:123
Downloads:24
Metadata:XML DC-XML DC-RDF
Categories:KTFMB - FERI
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Licences

License:CC BY-NC-ND 4.0, Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
Link:http://creativecommons.org/licenses/by-nc-nd/4.0/
Description:The most restrictive Creative Commons license. This only allows people to download and share the work for no commercial gain and for no other purposes.
Licensing start date:18.09.2025

Secondary language

Language:English
Title:Chessbot based on the methodology of AlphaZero
Abstract:In this masters thesis we describe the implementation of our own chessbot based on the methodology of AlphaZero. The first part includes a brief presentation of the history of computer chess and an overview of the basic approaches used in chess engines. The second part covers the implementation, training and evaluation of the chessbot. The bot achieved an ELO rating of 2144 in one-minute games and 1976 in three-minute games, which corresponds to the level of a strong amateur player.
Keywords:chess, chessbot, chess engines, search trees, neural networks


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