Post 5 of my Intro to # ReinforcementLearning series is live! In it, we explore the mathematical concepts behind an "optimal policy." Spoiler: such a policy is
The fifth installment of an introductory series on Reinforcement Learning is now available, delving into the mathematical underpinnings of an "optimal policy." This post explains that such a policy is inherently deterministic and aims to maximize the state-action value function (q*) from any given state. AI
IMPACT Explains core concepts in Reinforcement Learning, relevant for practitioners.