Paper Info
Title
Illuminating super mario bros: quality-diversity within platformer level generation
Abstract
We aim to build on the current understanding of how Quality-Diversity (QD) algorithms can be applied to Procedural Content Generation (PCG) for video games with our platform, Illuminated-Mario. The work presented here has two core aims: to explore the viability of our approach to PCG and to compare the performances of MAP-Elites and SHINE, two state of the art QD algorithms. Our experimental results suggest both that our approach to level generation is a viable foundation for future PCG systems, and that while the SHINE variants implemented do not significantly outperform MAP-Elites, they warrant further investigation.
Year
DOI
Venue
2020
10.1145/3377929.3390043
GECCO '20: Genetic and Evolutionary Computation Conference Cancún Mexico July, 2020
DocType
ISBN
Citations 
Conference
978-1-4503-7127-8
1
PageRank 
References 
Authors
0.35
0
1
Name
Order
Citations
PageRank
Oliver Withington110.69