mdp

Markov Decision Processes: The Math Behind How AI Learns to Act Lesson

A Markov Decision Process is the mathematical framework that formalizes sequential decision-making -- states, actions, rewards, and transitions -- and it is the foundation on which nearly all reinforcement learning, from game-playing AI to robot control, is built.