also useful for learning to explore and meta reinforcement learning because again we can try to explicitly reduce our uncertainty by collecting more data okay so how do we go about trying to medal learn in a way that allows us to generate hypotheses and reason about distributions so we can bring up the graphical model that sorry I mentioned before where we're going to have a distribution of our prior parameters theta we will have a distribution over our TAS specific parameters by I given theta and then we'll also have