Machine Learning, Reinforcement Learning, AI, Artificial Intelligence.
increases, future rewards are prioritized, as it decreases vice-versa. If γ = 0 then the agent only cares about maximizing immediate rewards. Policies and Value Functions To solve a MDP an agent uses policies and value functions. A policy is a map from states to the probability of selecting actions