So it's bad to be the cake? I assume he means it's the foundation one falls back on when the more specialized categories of methods are not applicable. You mig

So it's bad to be the cake? I assume he means it's the foundation one falls back on when the more specialized categories of methods are not applicable. You might not like my analogy either. I think of supervised and unsupervised learning as the majority of the genome of ML, while RL is that little Y chromosome sometimes tacked on to address a few high-profile tasks.