Simply put, this fundamental block of Reinforcement Learning helps us figure out the best route to pursue, under a given set of conditions. In this process of giving the best possibility, it takes into account both the immediate and future rewards. It can be used to train robots to play games, control robots, and even make financial decisions.

Let’s take Google Maps. One destination, two routes. To show you the best route, the intelligence behind it considers traffic and distance.

Say,