happening under the hood and if you plan longer you can do better nothing that happens is when you do this you learn a representation that ties into how an agent should make decisions that representation can be used by a reinforcement learning agent to learn more quickly what makes me a force wink typically hard is that the reward is sparse but if you map your world into this latent space in that latent space where you're running this optimizer grading descent to find good actions well again bring descend assumes that