  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.
