Markov Decision Process, Reinforcement Learning, Machine Learning, Artificial Intelligence, Game Theory.
agent back to the current state. Also, notice that now we have two numbers on each of these paths. These two numbers represent both the probability of taking that path and the reward, respectively. So, in this case, it’s most probable that we’re able to catch a bus from the Casino 2 state, than