143 citations · 1.3k across the 89 of their papers we have counts for
9 papers · 1 filter
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…
Impressions of the GDMC AI Settlement Generation Challenge in Minecraft
Christoph Salge, Claus Aranha, Adrian Brightmoore +15
The GDMC AI settlement generation challenge is a PCG competition about producing an algorithm that can create an "interesting" Minecraft settlement for a given map. This paper cont…
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…
An Evolutionary Algorithm for Task Scheduling in Crowdsourced Software Development
Razieh Saremi, Hardik Yagnik, Julian Togelius +2
The complexity of software tasks and the uncertainty of crowd developer behaviors make it challenging to plan crowdsourced software development (CSD) projects. In a competitive cro…
Physics-informed attention-based neural network for solving non-linear partial differential equations
Ruben Rodriguez-Torrado, Pablo Ruiz, Luis Cueto-Felgueroso +4
Physics-Informed Neural Networks (PINNs) have enabled significant improvements in modelling physical processes described by partial differential equations (PDEs). PINNs are based o…
Learning Controllable Content Generators
Sam Earle, Maria Edwards, Ahmed Khalifa +2
It has recently been shown that reinforcement learning can be used to train generators capable of producing high-quality game levels, with quality defined in terms of some user-spe…