26 citations · 26 across the 4 of their papers we have counts for
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cs.AI2020
Generative Adversarial Network Rooms in Generative Graph Grammar Dungeons for The Legend of Zelda
Jake Gutierrez, Jacob Schrum
Generative Adversarial Networks (GANs) have demonstrated their ability to learn patterns in data and produce new exemplars similar to, but different from, their training set in sev…
cs.AI2018
Evolving Mario Levels in the Latent Space of a Deep Convolutional Generative Adversarial Network
Vanessa Volz, Jacob Schrum, Jialin Liu +3
Generative Adversarial Networks (GANs) are a machine learning approach capable of generating novel example outputs across a space of provided training examples. Procedural Content…
cs.AI2016
Using Indirect Encoding of Multiple Brains to Produce Multimodal Behavior
Jacob Schrum, Joel Lehman, Sebastian Risi
An important challenge in neuroevolution is to evolve complex neural networks with multiple modes of behavior. Indirect encodings can potentially answer this challenge. Yet in prac…