I was randomly thinking about embeddings this morning. I was thinking how they are fantastic at creating a continuous representation space from discrete data, e.g. words, category labels, etc. I was then thinking it might be fun to use the embedding as a representation for an optimization process, like a genetic algorithm. Or any optimization algorithm. The algorithm would sample the embedding space and drawn vectors would have to be evaluated using a simulator or objective function or whatev...
