Machine Learning & Training

What Is a Markov Decision Process?

A Markov decision process (MDP) is a mathematical framework for modeling sequential decision-making. It consists of states, actions, transition probabilities, and rewards, where the next state depends only on the current state and action. MDPs form the theoretical foundation of much of reinforcement learning.