Evolutionary Machine Learning and Games
Julian Togelius Ahmed Khalifa Sam Earle Michael Cerny Green Lisa Soros
Evolutionary machine learning (EML) has been applied to games in multiple
ways, and for multiple different purposes. Importantly, AI research in games is
not only about playing games; it is also about generating game content,
modeling players, and many other applications. Many of these applications pose
interesting problems for EML. We will structure this chapter on EML for games
based on whether evolution is used to augment machine learning (ML) or ML is
used to augment evolution. For completeness, we also briefly discuss the usage
of ML and evolution separately in games.