Markov Decision Process, Reinforcement Learning, Machine Learning, Artificial Intelligence, Game Theory.
returns the probability of reaching the next state (s’) and obtaining a desired reward (r) given that we’re currently at some state (s) and taken a specified action (a). For example, using the MDP we’ve been developing so far, we would obtain this from the transition model: A specific transition