What are the four key components of a Markov Decision Process (MDP)?

The four key components of a Markov Decision Process (MDP) are states, actions, transition probabilities, and rewards. States represent the different situations or configurations the agent can be in. The set of all possible states is often denoted by 'S'. For example, in a game of chess, a state would represent the current arrangement of pieces on the board. Actions are the choices the agent can make in each state. The set of all possible actions is often denoted by 'A'. For example, in....