Machine learning algorithm for intelligent bots in multiplayer video game: A case study
2022, vol.14 , no.4, pp. 67-78
This paper describes the results of a developed online machine learning method implemented in a real-time multiplayer game called Hram Light. The goal was to create a program which produces several ways of playing for a bot, which would become a virtual trainer for players. The solutions are required to vary in success rate in order to achieve progress in player improvement. The input of the method is a data model of parameters which describe a player’s way of playing in a game situation. The process of learning takes place in the online world and produces a variety of solutions via a genetic algorithm.
genetic algorithm, Hram Light, machine learning method
Teodor Ukov, Georgi Tsochev. Machine learning algorithm for intelligent bots in multiplayer video game: A case study. International Journal on Information Technologies and Security, vol.14 , no.4, 2022, pp. 67-78.