The following are the four elements of Markov Decision Process(MDP) :
* A set of possible world states S.
* A set of Models.
* A set of possible actions A.
* A real valued reward function R(s,a).
* A policy the solution of Markov Decision Process.
In this process, the agent implements an Action A to transition from the start state to the End state, and while performing these actions, the agent receives few rewards. The series of actions taken by the agent can be defined as a policy.
