because I think that's something people are usually trying to figure out what's the difference between supervisor unsupervised and reinforcement learning but basically this is a form of supervised learning the the main factor here is the system focuses on maximizing a reward signal so the reward signal is supervision that that is a convenient so we have an agent and it's said that into the feature space so all of the input variable options are there and it was it has to learn what actions it can take in this