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 …
A short introduction to procedural content generation algorithms for videogames
NA Barriga - International Journal on Artificial Intelligence Tools, 2019 - World Scientific
One of the main costs of develo** a videogame is content creation. Procedural Content
Generation (PCG) can help alleviate that cost by algorithmically generating some of the …
Generation (PCG) can help alleviate that cost by algorithmically generating some of the …
Bootstrap** conditional gans for video game level generation
Generative Adversarial Networks (GANs) have shown impressive results for image
generation. However, GANs face challenges in generating contents with certain types of …
generation. However, GANs face challenges in generating contents with certain types of …
Doom level generation using generative adversarial networks
E Giacomello, PL Lanzi… - 2018 IEEE Games …, 2018 - ieeexplore.ieee.org
We applied Generative Adversarial Networks (GANs) to learn a model of DOOM levels from
human-designed content. Initially, we analyzed the levels and extracted several topological …
human-designed content. Initially, we analyzed the levels and extracted several topological …
Generation of game stages with quality and diversity by reinforcement learning in turn-based RPG
Many recent studies in procedural content generation (PCG) are based on machine
learning. One of the promising approaches is generative models, which have shown …
learning. One of the promising approaches is generative models, which have shown …
Using a surrogate model of gameplay for automated level design
D Karavolos, A Liapis… - 2018 IEEE Conference …, 2018 - ieeexplore.ieee.org
This paper describes how a surrogate model of the interrelations between different types of
content in the same game can be used for level generation. Specifically, the model …
content in the same game can be used for level generation. Specifically, the model …
SuSketch: Surrogate models of gameplay as a design assistant
P Migkotzidis, A Liapis - IEEE Transactions on Games, 2021 - ieeexplore.ieee.org
This article introduces SuSketch, a design tool for first person shooter levels. SuSketch
provides the designer with gameplay predictions for two competing players of specific …
provides the designer with gameplay predictions for two competing players of specific …
A multifaceted surrogate model for search-based procedural content generation
D Karavolos, A Liapis… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
This paper proposes a framework for the procedural generation of level and ruleset
components of games via a surrogate model that assesses their quality and …
components of games via a surrogate model that assesses their quality and …
Using reinforcement learning to generate levels of super mario bros. with quality and diversity
Procedural content generation (PCG) is essential in game development, automating content
creation to meet various criteria such as playability, diversity, and quality. This article …
creation to meet various criteria such as playability, diversity, and quality. This article …
Capturing local and global patterns in procedural content generation via machine learning
Recent procedural content generation via machine learning (PCGML) methods allow
learning from existing content to produce similar content automatically. While these …
learning from existing content to produce similar content automatically. While these …