outputs of the same network that's the basis of this edge then all the data gets put into a replay buffer and it's reused in other ways and the same neural net that is the a through C agent will give it multiple heads even more head so it has to make even more predictions and by giving an additional prediction tasks if these prediction paths are related to learning to solve the original problem which is achieve high reward and these prediction tasks are real ended and hopefully it'll learn something that will transfer over to the real task who