Igranje igre 2048 korištenjem neuronskih mreža

undergraduate thesis

• Title (english): Playing the 2048 game using neural networks
• Author: Krešo Orešković
• Mentor: Marko Đurasević (mentor)
• Committee member: Marko Đurasević (predsjednik povjerenstva)
• Committee member: Nikolina Frid (član povjerenstva)
• Committee member: Josip Šarić (član povjerenstva)
• Granter: University of Zagreb; Faculty of Electrical Engineering and Computing; Zagreb
• Defense date and country: 2023-07-06, Croatia
• Scientific / art field, discipline and subdiscipline: TECHNICAL SCIENCES; Computing

Abstract

Rad se fokusira na korištenje genetskog algoritma za treniranje neuronske mreže za igranje
popularne igre 2048. Genetski algoritam koristi prirodnu selekciju, križanje i mutaciju kako
bi generirao nove generacije mreža koje su sve bolje u igranju igre. Kroz iterativni proces,
mreže uče strategije i pravila igre koje su potrebne za postizanje visokih bodova. Nakon što
je mreža trenirana, testira se njezina sposobnost igranja igre i ocjenjuje se njezin uspjeh u
usporedbi s drugim metodama igranja. Rezultati projekta pokazuju da genetski algoritam
može biti uspješan u treniranju neuronske mreže za igranje 2048 igre.

Abstract (english)

The project focuses on using a genetic algorithm to train a neural network to play the popular
game 2048. The genetic algorithm employs natural selection, crossover, and mutation to
generate new generations of networks that get progressively better at playing the game.
Through an iterative process, the networks learn strategies and rules of the game that are
necessary to achieve high scores. Once the network is trained, its ability to play the game is
tested, and its performance is evaluated in comparison to other playing methods. The
project's results demonstrate that the genetic algorithm can be successful in training a neural
network to play the 2048 game.

• Keywords: neuronske mreže; genetski algoritam; strojno učenje; igra 2048
• Keywords (english): neural networks; genetic algorithm; machine learning; 2048 game
• Language: croatian
• URN:NBN: urn:nbn:hr:168:487220
• Study programme: Title: Computing; Study programme type: university; Study level: undergraduate; Academic / professional title: sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva (sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva)
• Type of resource: Text
• File origin: Born digital
• Access conditions: Closed access
• Created on: 2023-07-13 10:24:52