General Video Game AI: Learning from Screen Capture
Artificial Intelligence
2017-04-25 v1
Abstract
General Video Game Artificial Intelligence is a general game playing framework for Artificial General Intelligence research in the video-games domain. In this paper, we propose for the first time a screen capture learning agent for General Video Game AI framework. A Deep Q-Network algorithm was applied and improved to develop an agent capable of learning to play different games in the framework. After testing this algorithm using various games of different categories and difficulty levels, the results suggest that our proposed screen capture learning agent has the potential to learn many different games using only a single learning algorithm.
Keywords
Cite
@article{arxiv.1704.06945,
title = {General Video Game AI: Learning from Screen Capture},
author = {Kamolwan Kunanusont and Simon M. Lucas and Diego Perez-Liebana},
journal= {arXiv preprint arXiv:1704.06945},
year = {2017}
}
Comments
Proceedings of the IEEE Conference on Evolutionary Computation 2017