Reinforcement Learning, Machine Learning, Monte Carlo, Data Science, Thoughts And Theory.
scenario, we would still need p(s’, r | s, a). An elegant trick to overcome this issue is to look at the problem at a slightly different angle. We can take all possible pairs of states and actions (s, a) ∈ S x A and consider them as states. To find the values of these states, we can utilise the MC