Reinforcement Learning is a branch of machine learning managing issue of sequential decision making. In its most general form, it analyzes the issue of an agent that’s interacting with the outside world (i.e. the environment) by simply taking an action at each step. The selection of action will have consequences: first, it causes a new state for the agent; and secondly, the broker receives a reward signal in the environment,…