Tag: Practical Applications of MDP

A Markov Decision Process (MDP) is a framework used to model decision-making in situations where outcomes are partly random and partly controlled by an agent’s actions. It is commonly used in artificial intelligence and reinforcement learning to help systems make the best possible decisions over time. MDPs enable agents to plan a sequence of actions…