AIIDE Artifact Archive

Tile Embedding: A General Representation for Level Generation

Authors:
Date Archived: 14 October 2021
Accompanying Paper: Tile Embedding: A General Representation for Level Generation
Artifact URL: http://aiide.org/artifacts/files/tile_embeddings.zip
Alternative URL: https://github.com/js-mrunal/tile_embeddings
Description:

In recent years, Procedural Level Generation via Machine Learning (PLGML) techniques have been applied to generate game levels with machine learning. These approaches rely on human-annotated representations of game levels. Creating annotated datasets for games requires domain knowledge and is time-consuming. Hence, though a large number of video games exist, annotated datasets are curated only for a small handful. Thus current PLGML techniques have been explored in limited domains, with Super Mario Bros. as the most common example. To address this problem, we present tile embeddings, a unified, affordance-rich representation for tile-based 2D games. To learn this embedding, we employ autoencoders trained on the visual and semantic information oft iles from a set of existing, human-annotated games. We evaluate this representation on its ability to predict affordancesfor unseen tiles, and to serve as a PLGML representation for annotated and unannotated games.

How to Cite This Artifact

The examples below show how to cite this page, but when referring to this work, many authors will prefer that you cite the accompanying paper linked above.

AAAI Style
Jadhav, M.; and Guzdial, M. 2021. Tile Embedding: A General Representation for Level Generation. http://aiide.org/artifacts/tile_embeddings. Accessed 23 May 2024.
IEEE Style
M. Jadhav, and M. Guzdial, "Tile Embedding: A General Representation for Level Generation," 2021. [Online]. Available: http://aiide.org/artifacts/tile_embeddings. [Accessed May 23, 2024].
BiBTeX Entry
@misc{tile_embeddings,
	author={Jadhav, Mrunal and Guzdial, Matthew},
	title={Tile Embedding: A General Representation for Level Generation},
	howpublished={\url{http://aiide.org/artifacts/tile_embeddings}},
	year={2021},
	note={Accessed 23 May 2024}
}