Intelligent Path-Finding Agent in Video Games Using Artificial Intelligence

Authors

  • Koyya Vishnu Teja Student, School of Computing and Information Technology, REVA University, Bengaluru, India
  • Mallikarjun M. Kodabagi Deputy Director, School of Computing and Information Technology, REVA University, Bengaluru, India

Keywords:

Artificial Intelligence, Machine Learning, Reinforcement Learning, Video games, Unity, Unity ML agents

Abstract

This paper focuses on exploring the ability of artificial intelligence models (AI) in video game development for path finding. Path finding is a major component of video games that allows non-playable characters (NPCs) to navigate their complex 3D or 2D environment, to interact with the player realistically. The most frequent context is found in real-time strategy games. In recent years, AI algorithms have been extensively used for path finding and other design-specific works, offering more advanced and effective methods compared to conventional algorithms. This paper will examine the challenges and limitations of using AI for path finding in video games and the need for domain-specific knowledge.

Downloads

Download data is not yet available.

Downloads

Published

14-06-2023

Issue

Vol. 6 No. 6 (2023)

Section

Articles

License

Copyright (c) 2023 Koyya Vishnu Teja, Mallikarjun M. Kodabagi

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
K. V. Teja and M. M. Kodabagi, “Intelligent Path-Finding Agent in Video Games Using Artificial Intelligence”, IJRESM, vol. 6, no. 6, pp. 69–73, Jun. 2023, Accessed: Dec. 03, 2024. [Online]. Available: https://journal.ijresm.com/index.php/ijresm/article/view/2733