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The VGLC: The Video Game Level Corpus
June 23, 2016 Β· Declared Dead Β· π arXiv.org
"No code URL or promise found in abstract"
Evidence collected by the PWNC Scanner
Authors
Adam James Summerville, Sam Snodgrass, Michael Mateas, Santiago OntaΓ±Γ³n
arXiv ID
1606.07487
Category
cs.HC: Human-Computer Interaction
Cross-listed
cs.AI,
cs.LG
Citations
129
Venue
arXiv.org
Last Checked
4 months ago
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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