Reinforcement Learning, Machine Learning, Monte Carlo, Data Science, Thoughts And Theory.
principles we learned in Part 2, they are only applicable in perfect environments whose dynamics are fully known. When the transition probabilities p(s’, r | s, a) are not given (which is the case in the majority of real-life problems), it is becomes much harder to search for optimal strategies.