HackerPapers

arXiv:1908.10127cs.AI

Learning-Based Video Game Development in MLP@UoM: An Overview

Ke Chen

HN submission. Found in a submission link or body. Submitters do not count as commenters in the main ranking; a submission is not an endorsement.

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.

arXiv comments
8 pages, 15 figures Invited paper presented as a keynote speech, ICEEIE'19 in Bali, Indonesia
Journal reference
DOI
Subjects
cs.AIArtificial Intelligence cs.HCHuman-Computer Interaction cs.LGMachine Learning

On Hacker News

No comments linking this paper were found in the collected sources. Found in 1 HN submission from Aug 2019 to Aug 2019. Open submission discussions.

Comments linking this paper, per year.

Discussed in comments0 threads

No comments linking this paper were found in the collected sources. Open submission discussions.

Submitted to Hacker News

Connected through shared HN threads, not inferred similarity or a recommendation.