Machine Learning.
distribution over given states. It defines agent behaviour. π(a|s)=P[At =a|St =s] Value function: The state-value function of an MDP is the expected return starting from state S and when following policy. It tells how good is being in state S if following policy vπ(s)=Eπ[Gt |St =s] Action value