What are the best machine learning models for music composition? What are the best machine learning models that have been used to compose music? Are there some good research papers (or books) on this topic out there?
I would say, if I use a neural network, I would opt for a recurrent one, because it needs to have a concept of timing, chord progressions, and so on.
I am also wondering how the loss function would look like, and how I could give the AI so much feedback as they usually need.
There are a few of them. The most recent I've found is from DeepMind: The challenge of realistic music generation: modelling raw audio at scale. This video is a great analysis of it.