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The Game "Tanks" using Machine Learing

Student: Ustinov Artem

Supervisor: Efim M. Grinkrug

Faculty: Faculty of Computer Science

Educational Programme: Software Engineering (Bachelor)

Year of Graduation: 2018

This paper is dedicated to a PC application that allows the user to interact in a game form with AI controlled by machine learning algorithms. Nowadays, machine learning methods are used in many spheres, including the gaming industry. Based on this, creating AI in games approaches are changing. In particular, several development teams are trying to create rivals for various cyber sport disciplines that could adapt to the actions of the enemy and learn. Under this project, one of the machine learning approaches for creating AI based on neuroevolution was studied and implemented. In this machine learning approach, evolutionary algorithms, such as the genetic algorithm, are used to train artificial neural networks. The result of this work is The Game "Tanks" using machine learing. In this game the user has an opportunity to play with opponents which are controlled by machine learning algorithms, observe the AI training process and the battle of the tanks against each other.

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