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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. 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.