Constraining a PCGRL generator's action space with locally learned WFC constraints yields visually satisfying and playable puzzle-platform levels with desired global properties.
Learning to generate video game maps using markov models.IEEE transactions on computational intelligence and AI in games, 9(4):410–422, 2016
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Learning Local Constraints for Reinforcement-Learned Content Generators
Constraining a PCGRL generator's action space with locally learned WFC constraints yields visually satisfying and playable puzzle-platform levels with desired global properties.