HCAILGJun 23, 2016

The VGLC: The Video Game Level Corpus

arXiv:1606.07487v2132 citations
AI Analysis

This provides a resource for researchers in procedural content generation, though it is incremental as it focuses on data availability rather than new methods.

The authors tackled the lack of accessible datasets for video game level generation by creating the Video Game Level Corpus (VGLC), a collection of game levels in an easy-to-parse format, making it available for machine learning and game AI research.

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.

Code Implementations1 repo
Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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