Learning-Based Video Game Development in MLP@UoM: An Overview
August 27, 2019 Β· Declared Dead Β· π 2019 International Conference on Electrical, Electronics and Information Engineering (ICEEIE)
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Authors
Ke Chen
arXiv ID
1908.10127
Category
cs.AI: Artificial Intelligence
Cross-listed
cs.HC,
cs.LG
Citations
1
Venue
2019 International Conference on Electrical, Electronics and Information Engineering (ICEEIE)
Last Checked
4 months ago
Abstract
In general, video games not only prevail in entertainment but also have become an alternative methodology for knowledge learning, skill acquisition and assistance for medical treatment as well as health care in education, vocational/military training and medicine. On the other hand, video games also provide an ideal test bed for AI researches. To a large extent, however, video game development is still a laborious yet costly process, and there are many technical challenges ranging from game generation to intelligent agent creation. Unlike traditional methodologies, in Machine Learning and Perception Lab at the University of Manchester (MLP@UoM), we advocate applying machine learning to different tasks in video game development to address several challenges systematically. In this paper, we overview the main progress made in MLP@UoM recently and have an outlook on the future research directions in learning-based video game development arising from our works.
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