Mutation Models: Learning to Generate Levels by Imitating Evolution. (arXiv:2206.05497v2 [cs.AI] UPDATED)

Search-based procedural content generation (PCG) is a well-known method for
level generation in games. Its key advantage is that it is generic and able to
satisfy functional constraints. However, due to the heavy computational costs
to run these algorithms online, search-based PCG is rarely utilized for
real-time generation. In this paper, we introduce mutation models, a new type
of iterative level generator based on machine learning. We train a model to
imitate the evolutionary process and use the trained model …

ai arxiv evolution learning mutation