114 citations · 115 across the 3 of their papers we have counts for
4 papers · 1 filter
Capturing Local and Global Patterns in Procedural Content Generation via Machine Learning
Vanessa Volz, Niels Justesen, Sam Snodgrass +5
Recent procedural content generation via machine learning (PCGML) methods allow learning from existing content to produce similar content automatically. While these approaches are…
Automated Curriculum Learning by Rewarding Temporally Rare Events
Niels Justesen, Sebastian Risi
Reward shaping allows reinforcement learning (RL) agents to accelerate learning by receiving additional reward signals. However, these signals can be difficult to design manually,…
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…
Learning Macromanagement in StarCraft from Replays using Deep Learning
Niels Justesen, Sebastian Risi
The real-time strategy game StarCraft has proven to be a challenging environment for artificial intelligence techniques, and as a result, current state-of-the-art solutions consist…