Constraining a PCGRL generator's action space with locally learned WFC constraints yields visually satisfying and playable puzzle-platform levels with desired global properties.
Controllable level blending between games using variational autoencoders.arXiv preprint arXiv:2002.11869, 2020
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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.