Proceedings of the 2023 International Conference on Image, Algorithms and Artificial Intelligence (ICIAAI 2023)

<Previous Article In Volume
Next Article In Volume>

Reinforcement Learning in Digital Games: An Exploration of AI in Gaming

Authors
Ziwei Tang1, *
1School of Advanced Technology, Xi’an Jiaotong Liverpool University, Xi’an, 710000, China
*Corresponding author. Email: Ziwei.Tang18@student.xjtlu.edu.cn
Corresponding Author
Ziwei Tang
Available Online 27 November 2023.
DOI
10.2991/978-94-6463-300-9_37How to use a DOI?
Keywords
Reinforcement learning; digital games; AI
Abstract

Reinforcement Learning (RL), a pivotal technique in AI, finds extensive applications in game AI, ranging from elementary board games to sophisticated strategy games. This application not only carries significant practical implications but also catalyzes theoretical advancements in AI. The objective of this paper is to conduct a comprehensive review and analysis of the current application of RL in game AI, with the intent of uncovering its potential for augmenting the gaming experience. This research focuses on exploring five primary RL methodologies and their implementation in specific games. The aim is to gain a deeper understanding of the advantages, limitations, and impact of these methods on the gaming experience. The insights gleaned from this research endeavor will foster a more nuanced understanding of the practical implementation of RL, serving as an invaluable resource for subsequent research and development pursuits. Additionally, this paper analyzes and discusses the challenges and characteristics that AI games may face in the future. Finally, the paper concludes with a summary and prospects for future research.

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.

Download article (PDF)

<Previous Article In Volume
Next Article In Volume>
Volume Title
Proceedings of the 2023 International Conference on Image, Algorithms and Artificial Intelligence (ICIAAI 2023)
Series
Advances in Computer Science Research
Publication Date
27 November 2023
ISBN
10.2991/978-94-6463-300-9_37
ISSN
2352-538X
DOI
10.2991/978-94-6463-300-9_37How to use a DOI?
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.

Cite this article

risenwbib
TY  - CONF
AU  - Ziwei Tang
PY  - 2023
DA  - 2023/11/27
TI  - Reinforcement Learning in Digital Games: An Exploration of AI in Gaming
BT  - Proceedings of the 2023 International Conference on Image, Algorithms and Artificial Intelligence (ICIAAI 2023)
PB  - Atlantis Press
SP  - 361
EP  - 370
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-300-9_37
DO  - 10.2991/978-94-6463-300-9_37
ID  - Tang2023
ER  -