ML Anthology

General Statistical Approaches to Procedural mAP Generation

Sam Snodgrass
IJCAI 2016 pp. 4028-4029
/ijcai/2016/snodgrass2016ijcai-general/

Abstract

Procedural content generation (PCG) studies the algorithmic creation of content (e.g., textures, maps), typically for games. PCG has become a popular research topic in recent years, but little has been done in terms of generalized content generators: approaches that can generate content for a variety of games without hand-tuning. We are interested in exploring statistical algorithms that could lead to generalized procedural map generators. PDF

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Text

Snodgrass. "General Statistical Approaches to Procedural mAP Generation." International Joint Conference on Artificial Intelligence, 2016.

Markdown

[Snodgrass. "General Statistical Approaches to Procedural mAP Generation." International Joint Conference on Artificial Intelligence, 2016.](https://mlanthology.org/ijcai/2016/snodgrass2016ijcai-general/)

BibTeX

@inproceedings{snodgrass2016ijcai-general,
  title     = {{General Statistical Approaches to Procedural mAP Generation}},
  author    = {Snodgrass, Sam},
  booktitle = {International Joint Conference on Artificial Intelligence},
  year      = {2016},
  pages     = {4028-4029},
  url       = {https://mlanthology.org/ijcai/2016/snodgrass2016ijcai-general/}
}