relatively recent results people have achieved by looking at combining representation learning with reinforcement to make RL reinforce learning more efficient we'll look at is long for directions auxilary losses state representation exploration and unsurprised field discovery and we'll unpack these as we go along one thing you'll notice is that it's not some kind of linearly building up thing and at the end you know it culminates in what is the most important piece really what we're going to be covering is a wide