3 papers
cs.HC2018
Taking the Scenic Route: Automatic Exploration for Videogames
Zeping Zhan, Batu Aytemiz, Adam M. Smith
Machine playtesting tools and game moment search engines require exposure to the diversity of a game's state space if they are to report on or index the most interesting moments of…
cs.LG2018
Addressing the Fundamental Tension of PCGML with Discriminative Learning
Isaac Karth, Adam M. Smith
Procedural content generation via machine learning (PCGML) is typically framed as the task of fitting a generative model to full-scale examples of a desired content distribution. T…
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…