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Preprint (Author's original)arXiv.org - Non-exclusive license to distribute, Open
Preprint
The VGLC: The Video Game Level Corpus
arXiv.org
03 Jul 2016
Abstract
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 techniques have been applied to video game level generation
towards the purpose of automatically generating levels that have the properties
of the training corpus. Towards that end we have made available a corpora of
video game levels in an easy to parse format ideal for different machine
learning and other game AI research purposes.
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Details
- Title
- The VGLC: The Video Game Level Corpus
- Creators
- Adam James SummervilleSam SnodgrassMichael MateasSantiago Ontañón
- Publication Details
- arXiv.org
- Resource Type
- Preprint
- Language
- English
- Academic Unit
- Computer Science (Computing)
- Other Identifier
- 991021869113504721