Markov Decision Process (MDP)

A Markov Decision Process (MDP) is a mathematical framework used to model decision-making in situations where outcomes are partly random and partly under your control. It involves a set of states representing the current situation, actions you can take, and probabilities that certain outcomes will happen after each action. The goal is to choose actions that maximize a reward or benefit over time. MDPs are widely used in areas like robotics, finance, and game playing to help determine the best strategy for achieving desired results while accounting for uncertainty.