Partially Observable Markov Decision Process - What are the types of decision process in Markov?

In order to find the best course of action for the system, Markov Decision Processes (MDPs) take into account factors including the environment, the agent's behavior, and the incentives. Factors such as the number of possible actions, the number of states, and the frequency of decision-making determine whether they are finite, infinite, continuous, or discrete.