Figure 1 shows a person making decisions to arrive at their destination. Moreover, suppose on your drive from home to work you always choose the same route. But one day your curiosity takes over and you decide to try a different path in hopes for a shorter commute. This dilemma of trying out new routes or sticking to the best-known route is an example of exploration versus exploitation:

Figure 1: An agent always try to reach the destination passing through route

Reinforcement learning techniques are being used in many areas. A general idea that is being pursued right now is creating an algorithm that doesn't need anything apart from a description of its task. When this kind of performance is achieved, it will be applied virtually everywhere.