Machine Learning, Markov Decision Process, Reinforcement Learning.
starving, and penalized for eating when full, as well as eating when more satiated than hungry. It’s pretty easy to see that in this very simple example, the optimal policy is to always eat when hungry. Value Functions: The two types of value functions in reinforcement learning are the state value