Evolutionary Machine Learning and Games
November 20, 2023 ยท Declared Dead ยท ๐ arXiv.org
"No code URL or promise found in abstract"
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Authors
Julian Togelius, Ahmed Khalifa, Sam Earle, Michael Cerny Green, Lisa Soros
arXiv ID
2311.16172
Category
cs.NE: Neural & Evolutionary
Cross-listed
cs.AI,
cs.LG
Citations
1
Venue
arXiv.org
Last Checked
4 months ago
Abstract
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.
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