The Importance of Reinforcement Learning in Machine Learning

GANS are part of a larger family of models that are at some level critical. They're pushing back and they're pushing you off of your safe spot, whatever that safe spot is. So another way to do this is to use reinforcement learning. And it's slower to train because all you have is a single number, scalar reward instead of this whole gradient flowing than GANS. But it also is more flexible. It doesn't have to be 18th century rules of counterpoint. Now think like, as long as I can write a bit of code that takes a sample from the model and evaluates it, providing scalar reward, anything I stuff in that evaluator then I