143 citations · 1.3k across the 89 of their papers we have counts for
4 papers · 2 filters
Deep Learning for Video Game Playing
Niels Justesen, Philip Bontrager, Julian Togelius +1
In this article, we review recent Deep Learning advances in the context of how they have been applied to play different types of video games such as first-person shooters, arcade g…
Autoencoder-augmented Neuroevolution for Visual Doom Playing
Samuel Alvernaz, Julian Togelius
Neuroevolution has proven effective at many reinforcement learning tasks, but does not seem to scale well to high-dimensional controller representations, which are needed for tasks…
Evolving Game Skill-Depth using General Video Game AI Agents
Jialin Liu, Julian Togelius, Diego Perez-Liebana +1
Most games have, or can be generalised to have, a number of parameters that may be varied in order to provide instances of games that lead to very different player experiences. The…
Procedural Content Generation via Machine Learning (PCGML)
Adam Summerville, Sam Snodgrass, Matthew Guzdial +5
This survey explores Procedural Content Generation via Machine Learning (PCGML), defined as the generation of game content using machine learning models trained on existing content…