8 citations · 8 across the 2 of their papers we have counts for
2 papers
cs.NE2021★ 8 cited
Hybrid Encoding For Generating Large Scale Game Level Patterns With Local Variations
Jacob Schrum, Benjamin Capps, Kirby Steckel +2
Generative Adversarial Networks (GANs) are a powerful indirect genotype-to-phenotype mapping for evolutionary search. Much previous work applying GANs to level generation focuses o…
cs.NE2021
Using Multiple Generative Adversarial Networks to Build Better-Connected Levels for Mega Man
Benjamin Capps, Jacob Schrum
Generative Adversarial Networks (GANs) can generate levels for a variety of games. This paper focuses on combining GAN-generated segments in a snaking pattern to create levels for…