arXiv Open Access 2023

Evolutionary Machine Learning and Games

Julian Togelius Ahmed Khalifa Sam Earle Michael Cerny Green Lisa Soros

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Abstrak

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.

Topik & Kata Kunci

cs.NE cs.AI cs.LG

Penulis (5)

Julian Togelius

Ahmed Khalifa

Sam Earle

Michael Cerny Green

Lisa Soros

Format Sitasi

APA MLA BibTeX

Togelius, J., Khalifa, A., Earle, S., Green, M.C., Soros, L. (2023). Evolutionary Machine Learning and Games. https://arxiv.org/abs/2311.16172

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Informasi Jurnal

Tahun Terbit: 2023
Bahasa: en
Sumber Database: arXiv
Akses: Open Access ✓