Machine Learning, Markov Decision Process, Reinforcement Learning.
probability of 1. Our policy should describe how to act in each state. Consider this policy created by Josh Greaves As you can see, we are rewarded when we are full, and we are rewarded when we are hungry and eat, and we are rewarded for not eating when full. We are extremely heavily penalized if