reinforced planning is about reward so far ration mostly ignored the rewards when we learned representations and so we'll switch that up now let's not just learn to predict next state but also learn to predict future reward kind of first paper down or first recent paper that looked at this and the deep reinforcement in convicts is a predictor on paper so enter learning and planning and what they said is well it's difficult to know what needs to go into the latent state and so because we don't really know what