and bird and then finally we look at how representation learning or supervised learning has been applied in the context of reinforcement learning so and and we will also cover things like how to do unsupervised distribution alignment that is given completely to different data sets with a lot of common information how do we align the two manifolds together and without any prior data and you see how generative models and unsupervised learning can be used in the context of building compression algorithms so that's the next next