Capturing Local and Global Patterns in Procedural Content Generation via Machine Learning

Vanessa Volz
Vanessa Volz
Sahar Asadi
Sahar Asadi
Sami Purmonen
Sami Purmonen

2020 IEEE Conference on Games (CoG), pp. 399-406, 2020.

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Abstract:

Recent procedural content generation via machine learning (PCGML) methods allow learning from existing content to produce similar content automatically. While these approaches are able to generate content for different games (e.g. Super Mario Bros., DOOM, Zelda, and Kid Icarus), it is an open question how well these approaches can capture...More

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