Multiple Types of AI and Their Performance in Video Games
In this article, we present a comparative study of Artificial Intelligence training methods, in the context of a racing video game. The algorithms Proximal Policy Policy Optimization (PPO), Generative Adversarial Imitation Learning (GAIL) and Behavioral Cloning (BC), present in the Machine Learning...
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Format: | Article |
Language: | English |
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Babes-Bolyai University, Cluj-Napoca
2022-07-01
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Series: | Studia Universitatis Babes-Bolyai: Series Informatica |
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Online Access: | http://193.231.18.162/index.php/subbinformatica/article/view/1200 |
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author | Iulian PRĂJESCU Alina Delia CĂLIN |
author_facet | Iulian PRĂJESCU Alina Delia CĂLIN |
author_sort | Iulian PRĂJESCU |
collection | DOAJ |
description |
In this article, we present a comparative study of Artificial Intelligence training methods, in the context of a racing video game. The algorithms Proximal Policy Policy Optimization (PPO), Generative Adversarial Imitation Learning (GAIL) and Behavioral Cloning (BC), present in the Machine Learning Agents (ML-Agents) toolkit have been used in several scenarios. We measured their learning capability and performance in terms of speed, correct level traversal, number of training steps required and we explored ways to improve their performance. These algorithms prove to be suitable for racing games and the toolkit is highly accessible within the ML-Agents toolkit.
Received by the editors: 23 September 2021.
2010 Mathematics Subject Classification. 91A10, 68T05.
1998 CR Categories and Descriptors. I.2.1 [Artificial intelligence]: Applications and Expert Systems – Games; K.8.0 [Personal computing]: General – Gaming.
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first_indexed | 2024-03-08T05:11:39Z |
format | Article |
id | doaj.art-e980263b638448da94f13de1a4c7030c |
institution | Directory Open Access Journal |
issn | 2065-9601 |
language | English |
last_indexed | 2024-03-08T05:11:39Z |
publishDate | 2022-07-01 |
publisher | Babes-Bolyai University, Cluj-Napoca |
record_format | Article |
series | Studia Universitatis Babes-Bolyai: Series Informatica |
spelling | doaj.art-e980263b638448da94f13de1a4c7030c2024-02-07T10:03:31ZengBabes-Bolyai University, Cluj-NapocaStudia Universitatis Babes-Bolyai: Series Informatica2065-96012022-07-0167110.24193/subbi.2022.1.02Multiple Types of AI and Their Performance in Video GamesIulian PRĂJESCU0Alina Delia CĂLIN1Babes-Bolyai University, Faculty of Mathematics and Computer Science, Cluj-Napoca, Romania Email address: alina.calin@ubbcluj.roBabes-Bolyai University, Faculty of Mathematics and Computer Science, Cluj-Napoca, Romania Email address: alina.calin@ubbcluj.ro In this article, we present a comparative study of Artificial Intelligence training methods, in the context of a racing video game. The algorithms Proximal Policy Policy Optimization (PPO), Generative Adversarial Imitation Learning (GAIL) and Behavioral Cloning (BC), present in the Machine Learning Agents (ML-Agents) toolkit have been used in several scenarios. We measured their learning capability and performance in terms of speed, correct level traversal, number of training steps required and we explored ways to improve their performance. These algorithms prove to be suitable for racing games and the toolkit is highly accessible within the ML-Agents toolkit. Received by the editors: 23 September 2021. 2010 Mathematics Subject Classification. 91A10, 68T05. 1998 CR Categories and Descriptors. I.2.1 [Artificial intelligence]: Applications and Expert Systems – Games; K.8.0 [Personal computing]: General – Gaming. http://193.231.18.162/index.php/subbinformatica/article/view/1200racing game, PPO, GAIL, behavioral cloning, AI in games. |
spellingShingle | Iulian PRĂJESCU Alina Delia CĂLIN Multiple Types of AI and Their Performance in Video Games Studia Universitatis Babes-Bolyai: Series Informatica racing game, PPO, GAIL, behavioral cloning, AI in games. |
title | Multiple Types of AI and Their Performance in Video Games |
title_full | Multiple Types of AI and Their Performance in Video Games |
title_fullStr | Multiple Types of AI and Their Performance in Video Games |
title_full_unstemmed | Multiple Types of AI and Their Performance in Video Games |
title_short | Multiple Types of AI and Their Performance in Video Games |
title_sort | multiple types of ai and their performance in video games |
topic | racing game, PPO, GAIL, behavioral cloning, AI in games. |
url | http://193.231.18.162/index.php/subbinformatica/article/view/1200 |
work_keys_str_mv | AT iulianprajescu multipletypesofaiandtheirperformanceinvideogames AT alinadeliacalin multipletypesofaiandtheirperformanceinvideogames |