I mean, everyone knows if you hand a human-created model to a learning algorithm, it's going to do better.
The linked posts you're pointing to here are talking about using human intelligence to build a model for the system. I think the point in this paper is that the model is learned in a self-supervised way. And that learning environment dynamics through predicting the next frame is useful by itself. That's not as obvious
