Reinforcement Learning, Monte Carlo Method, Machine Learning.
starts and π For each pair (s, a) appearing in the episode: 1) R← return following the first occurrence of s, a; 2) Append R to Return(s, a); 3)Q(s, a)←average(Returns(s, a)) For each s in the episode: π(s)←argmaxa​Q(s,a) Note: For now, we make two unlikely assumptions in order to obtain the