What should you do when the model of the environment is unknown? Learn it! Almost everything we have seen so far involves learning. So, is it the best approach? Well, if you actually want to use a model-based approach, the answer is yes, and soon we'll see how to do it. However, this isn't always the best way to proceed.
In reinforcement learning, the end goal is to learn an optimal policy for a given task. Previously in this chapter, we said that the model-based approach is primarily used to reduce the number of interactions with the environment, but is this always true? Imagine your goal is to prepare an omelet. Knowing the exact breaking point of the egg isn't useful at all; you just need to know approximately how to break ...
