Exploring the Role of Reinforcement Learning in Video Game Environments
- DOI
- 10.2991/978-94-6463-300-9_20How to use a DOI?
- Keywords
- Reinforcement Learning; Artificial Intelligence; Video Game
- Abstract
With the progressive advancement of technology in the gaming industry and the growing maturity of Reinforcement Learning (RL) techniques, the utilization of RL in gaming has significantly evolved. However, there is a noticeable dearth of comprehensive overview and summary in this domain. Thus, this paper aims to address this gap. It begins by providing a concise explanation of the concept of RL and subsequently reviews its development within the gaming field. A comparative analysis between traditional artificial intelligence and artificial intelligence integrating RL in gaming is also conducted to highlight the advantages and disadvantages of RL. Furthermore, the study presents two application cases demonstrating the potential of RL in enhancing gaming experiences. Ultimately, the paper concludes with a summary and a future perspective on this subject matter. Through this work, we hope to provide valuable insights and contribute to the further exploration of RL in the gaming industry.
- 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
TY - CONF AU - Xingyu Hou PY - 2023 DA - 2023/11/27 TI - Exploring the Role of Reinforcement Learning in Video Game Environments BT - Proceedings of the 2023 International Conference on Image, Algorithms and Artificial Intelligence (ICIAAI 2023) PB - Atlantis Press SP - 193 EP - 201 SN - 2352-538X UR - https://doi.org/10.2991/978-94-6463-300-9_20 DO - 10.2991/978-94-6463-300-9_20 ID - Hou2023 ER -