Deep learning for procedural content generation

Jialin Liu; Sam Snodgrass; Ahmed Khalifa; Sebastian Risi; Georgios N. Yannakakis; Julian Togelius

doi:10.1007/s00521-020-05383-8

Deep learning for procedural content generation

Jialin Liu (Southern University of Science and Technology) iD Sam Snodgrass iD Ahmed Khalifa (New York University) iD Sebastian Risi (IT University of Copenhagen) iD Georgios N. Yannakakis (University of Malta) iD Julian Togelius (New York University) iD

Journal: Neural Computing and Applications • 2020-10-08 • Springer Science+Business Media • ISSN: 0941-0643

Abstract

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Subjects & Keywords

# Artificial Intelligence in Games # Computer Science # Generative Adversarial Networks and Image Synthesis # Computer Graphics and Visualization Techniques

How to Cite this Article

                    Jialin Liu, Sam Snodgrass, Ahmed Khalifa, et al. (2020). "Deep learning for procedural content generation". Neural Computing and Applications. https://doi.org/10.1007/s00521-020-05383-8                

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Identifiers & Provenance

DOI: https://doi.org/10.1007/s00521-020-05383-8 ↗
OpenAlex: W3092157356 ↗
Primary Index: OPENALEX