Reinforcement Learning, Machine Learning, Monte Carlo, Data Science, Thoughts And Theory.
p(s’, r | s, a). Monte Carlo (MC) methods neither estimate nor use p(s’, r | s, a), so they are model-free. Instead, they learn from experience — sequences of states, actions and rewards. By using given agent trajectories, they average approximate expected values and use GPI to obtain optimal