Player movement models for platformer game level generation

international joint conference on artificial intelligence, pp. 757-763, 2017.

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Abstract:

The use of statistical and machine learning approaches, such as Markov chains, for procedural content generation (PCG) has been growing in recent years in the field of Game AI. However, there has been little work in learning to generate content, specifically levels, accounting for player movement within those levels. We are interested in ...More

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