Markov Decision Processes: The Pioneers of Reinforcement Learning

Meet the brave individuals who dared to venture into the unknown, where state transitions are not so smooth and rewards are not so clear.

Howard M. Markov - The man who brought us Markov chains, because one step at a time is all we can handle.
Donald F. Stutman - He made us realize that decision-making is all about probabilistic thinking, even when faced with uncertainty.
Julian L. Lebussier - The master of state transition matrices, because sometimes you need to get from one place to another, even if it's not the most efficient.