Machine Learning.
tuple (S,A,P,R,𝛾) S — finite set of states A — is a finite set of actions P- is state transition probability matrix Pa′ =P[St+1=s′|St=s,At=a] R — is reward function, Ras = E[Rt+1 | St = s,At = a] 𝛾 is a discount factor γ ∈ [0, 1]. Formalize on which way we are going to make decision Policy is