26 citations · 29 across the 8 of their papers we have counts for
Showing 2021Show all
2 papers · 1 filter
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…
cs.LG2021
Illuminating the Space of Beatable Lode Runner Levels Produced By Various Generative Adversarial Networks
Kirby Steckel, Jacob Schrum
Generative Adversarial Networks (GANs) are capable of generating convincing imitations of elements from a training set, but the distribution of elements in the training set affects…