MAI4CAREU - Machine Learning: Markov Decision Processes and Dynamic Programming Created byLaia Güell Paule|Updated27 July 2024The University of Cyprus's MSc Artificial Intelligence is part of the Master programmes in Artificial Intelligence 4 Careers in Europe (MAI4CAREU). One of Master's programme's courses, MAI612 - Machine Learning is split up into several lectures. Taught by Vassilis Vassiliades, PhD, the seventeenth lecture of the MAI612 - Machine Learning course focuses on Markov Decision Processes and Dynamic Programming.Learning outcomesHow to formalize the RL problem using the framework of Markov Decision Processes (MDPs)What value functions are and how they relate with the objectives in an MDPTwo classes of RL problems: prediction and controlHow to use the Bellman Equations to solve RL problemsDynamic programming and the value iteration and policy iteration algorithms for finding solutions to MDPsLearning contentWebsite link MAI4CAREU - Lecture 17 - Markov Decision Processes and Dynamic ProgrammingTarget audienceDigital skills for ICT professionals and other digital experts.Digital skill levelIntermediateAdvancedGeographic scope - CountryAustriaBelgiumBulgariaCyprusRomaniaSloveniaCroatiaCzech republicDenmarkEstoniaFinlandFranceGermanyGreeceHungaryItalyIrelandMaltaLatviaLithuaniaLuxembourgNetherlandsPortugalPolandSwedenSpainSlovakiaShow moreShow less Share this page Log in to comment