Procedural content generation in video games has a long history. Existing procedural
content generation methods, such as search-based, solver-based, rule-based and grammar …

Georgios N. Yannakakis Julian Togelius Page 1 Artificial Intelligence and Games Georgios N.
Yannakakis Julian Togelius Page 2 Artificial Intelligence and Games Page 3 Georgios N …

Self-driving cars rely on software which needs to be thoroughly tested. Testing self-driving
car software in real traffic is not only expensive but also dangerous, and has already caused …

This paper attempts to give a high-level overview of the field of artificial and computational
intelligence (AI/CI) in games, with particular reference to how the different core research …

Objectives: To build a video game that implementing procedural content generation with a
first-person shooter genre and using the newest gaming hardware technology, ie Virtual …

We introduce a procedural content generation (PCG) framework at the intersections of
experience-driven PCG and PCG via reinforcement learning, named ED (PCG) RL, EDRL in …

Deep reinforcement learning has shown remarkable success in the past few years. Highly
complex sequential decision making problems have been solved in tasks such as game …

We show that novel, linear game levels can be created using n-grams that have been
trained on a corpus of existing levels. The method is fast and simple, and produces levels …

Game content construction and generation are laborious and expensive. Procedural content
generation (PCG) aims at generating game content automatically using algorithms, reducing …

Evaluation is an open problem in procedural content generation research. The field is now
in a state where there is a glut of content generators, each serving different purposes and …