The Application of Reinforcement Learning in Video Games

DOI

10.2991/978-94-6463-300-9_21How to use a DOI?

Keywords

Reinforcement Learning; Video Games Playing; Video Game Development

Abstract

With the continuous development of reinforcement learning, artificial intelligence has reached a level of sophistication where it can effectively handle complex situations, making it a valuable component in video game development and gameplay experiences. Recent applications have demonstrated the potential of reinforcement learning in controlling game agents to achieve victory, as well as its role in facilitating game development processes for human developers. This paper presents a comprehensive review of the methods employed in video games to support in-game artificial intelligence and game development. A comparison is made between traditional methods and the emerging paradigm of reinforcement-learning-based techniques. By exploring the advantages of applying reinforcement learning, this study highlights the potential benefits it brings to the video game industry. Furthermore, real-world cases are examined to showcase successful applications of reinforcement learning in video games. It concludes that the future and advancement of reinforcement learning in video games hold great promise.

Copyright

© 2023 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Xuyouyang Fan
PY  - 2023
DA  - 2023/11/27
TI  - The Application of Reinforcement Learning in Video Games
BT  - Proceedings of the 2023 International Conference on Image, Algorithms and Artificial Intelligence (ICIAAI 2023)
PB  - Atlantis Press
SP  - 202
EP  - 211
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-300-9_21
DO  - 10.2991/978-94-6463-300-9_21
ID  - Fan2023
ER  -