BUSI 571 - MARKOV PROCESSES IN OPS MGMT
Long Title: MARKOV DECISION PROCESSES IN OPERATIONS MANAGEMENT
Department: Business
Grade Mode: Standard Letter
Language of Instruction: Taught in English
Course Type: Lecture
Credit Hours: 3
Restrictions: Must be enrolled in one of the following Program(s):
Doctor of Philosophy Business
Must be enrolled in one of the following Level(s):
Graduate
Description: This course introduces students to Markov Decision Processes, which are models of decision making under uncertainty that play a foundational role in operations management. Topics comprise the optimality conditions (Bellman equations), algorithms to obtain optimal policies, including dynamic programming, and both reinforcement learning approximations and bounding approaches to deal with intractable models.