Assertion: In a Reinforcement Learning $($RL$)$ agent, a policy is the agent$$s behaviour and is a map from state to action. Reason: A model is the RL agent$$s representation of the environment and predicts what the agent will do next. Mark the correct choice as

A$.$ Both A and R are true and R is the correct explanation for A

B$.$ Both A and R are true but R is not the correct explanation for A

C$.$ A is True but R is False

D$.$ A is false but R is True