Markov Decision Process, Reinforcement Learning, Machine Learning, Artificial Intelligence, Game Theory.
to reach a specific state, for the environment to respond randomly due to unforeseen or unknown variables. For example, suppose our agent attempts to “take a bus” in order to reach the other casino. In a real life scenario, there could be no bus at the time of taking such action, or the bus could