143 citations · 1.3k across the 89 of their papers we have counts for
16 papers · 1 filter
Understanding trade-offs in classifier bias with quality-diversity optimization: an application to talent management
Catalina M Jaramillo, Paul Squires, Julian Togelius
Fairness,the impartial treatment towards individuals or groups regardless of their inherent or acquired characteristics [20], is a critical challenge for the successful implementat…
Illuminating Diverse Neural Cellular Automata for Level Generation
Sam Earle, Justin Snider, Matthew C. Fontaine +2
We present a method of generating diverse collections of neural cellular automata (NCA) to design video game levels. While NCAs have so far only been trained via supervised learnin…
Self-Referential Quality Diversity Through Differential Map-Elites
Tae Jong Choi, Julian Togelius
Differential MAP-Elites is a novel algorithm that combines the illumination capacity of CVT-MAP-Elites with the continuous-space optimization capacity of Differential Evolution. Th…
Co-generation of game levels and game-playing agents
Aaron Dharna, Julian Togelius, L. B. Soros
Open-endedness, primarily studied in the context of artificial life, is the ability of systems to generate potentially unbounded ontologies of increasing novelty and complexity. En…
Multi-Objective level generator generation with Marahel
Ahmed Khalifa, Julian Togelius
This paper introduces a new system to design constructive level generators by searching the space of constructive level generators defined by Marahel language. We use NSGA-II, a mu…
Bootstrapping Conditional GANs for Video Game Level Generation
Ruben Rodriguez Torrado, Ahmed Khalifa, Michael Cerny Green +3
Generative Adversarial Networks (GANs) have shown im-pressive results for image generation. However, GANs facechallenges in generating contents with certain types of con-straints,…