3 papers
cs.CV2024
Using Deep Convolutional Neural Networks to Detect Rendered Glitches in Video Games
Carlos Garcia Ling, Konrad Tollmar, Linus Gisslen
In this paper, we present a method using Deep Convolutional Neural Networks (DCNNs) to detect common glitches in video games. The problem setting consists of an image (800x800 RGB)…
cs.LG2023
Generating Personas for Games with Multimodal Adversarial Imitation Learning
William Ahlberg, Alessandro Sestini, Konrad Tollmar +1
Reinforcement learning has been widely successful in producing agents capable of playing games at a human level. However, this requires complex reward engineering, and the agent's…
cs.GR2022
Automatic Testing and Validation of Level of Detail Reductions Through Supervised Learning
Matilda Tamm, Olivia Shamon, Hector Anadon Leon +2
Modern video games are rapidly growing in size and scale, and to create rich and interesting environments, a large amount of content is needed. As a consequence, often several thou…