Deep learning for procedural content generation
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 …
content generation methods, such as search-based, solver-based, rule-based and grammar …
[BOK][B] Artificial intelligence and games
GN Yannakakis, J Togelius - 2018 - Springer
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 …
Yannakakis Julian Togelius Page 2 Artificial Intelligence and Games Page 3 Georgios N …
Procedural content generation via machine learning (PCGML)
This survey explores procedural content generation via machine learning (PCGML), defined
as the generation of game content using machine learning models trained on existing …
as the generation of game content using machine learning models trained on existing …
Super mario as a string: Platformer level generation via lstms
A Summerville, M Mateas - arxiv preprint arxiv:1603.00930, 2016 - arxiv.org
The procedural generation of video game levels has existed for at least 30 years, but only
recently have machine learning approaches been used to generate levels without specifying …
recently have machine learning approaches been used to generate levels without specifying …
The vglc: The video game level corpus
Levels are a key component of many different video games, and a large body of work has
been produced on how to procedurally generate game levels. Recently, Machine Learning …
been produced on how to procedurally generate game levels. Recently, Machine Learning …
TOAD-GAN: Coherent style level generation from a single example
In this work, we present TOAD-GAN (Token-based One-shot Arbitrary Dimension Generative
Adversarial Network), a novel Procedural Content Generation (PCG) algorithm that …
Adversarial Network), a novel Procedural Content Generation (PCG) algorithm that …
Game level generation from gameplay videos
We present an unsupervised process to generate full video game levels from a model
trained on gameplay video. The model represents probabilistic relationships between …
trained on gameplay video. The model represents probabilistic relationships between …
Expanding expressive range: Evaluation methodologies for procedural content generation
A Summerville - Proceedings of the AAAI Conference on Artificial …, 2018 - ojs.aaai.org
Abstract Procedural Content Generation (PCG) has been a part of video games for the
majority of their existence and have been an area of active research over the past decade …
majority of their existence and have been an area of active research over the past decade …
Learning player tailored content from observation: Platformer level generation from video traces using lstms
A touted use of Procedural Content Generation is generating content tailored to specific
players. Previous work has relied on human identification of player profile features which are …
players. Previous work has relied on human identification of player profile features which are …
[BOK][B] Procedural content generation via machine learning: An Overview
This book surveys current and future approaches to generating video game content with
machine learning or Procedural Content Generation via Machine Learning (PCGML) …
machine learning or Procedural Content Generation via Machine Learning (PCGML) …