{"version":"1.0","type":"rich","provider_name":"gaks.ai AI Glossary","provider_url":"https://gaks.ai/glossary","title":"Markov Decision Process — AI Glossary","author_name":"Glenn Katrud Solheim","author_url":"https://gaks.ai","width":600,"height":200,"html":"

AI Glossary — gaks.ai

Markov Decision Process (MDP)

A mathematical framework for modeling sequential decision-making problems where outcomes are partly random and partly under the control of a decision-maker. MDPs define the environment in which a reinforcement learning agent operates, specifying states, actions, transition probabilities, and rewards, and provide the theoretical foundation for most RL algorithms.

Source: gaks.ai/glossary/markov-decision-process →
"}