Markov Decision Process, Reinforcement Learning, Machine Learning, Artificial Intelligence, Game Theory.
state, then we wouldn’t be using a Markov Decision Process. This constraint is required, as we want to be able to think of each state as an isolated case. If the agent finds itself in such state, it should be able to act regardless of whether it is the first visited state or not. This may sound