BUSI 571: MARKOV DEC PROCESSES OPS MGMT
Fall 2025 · Section 001 · CRN 15304
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.
- Credits
- 3
- Instructors
- Nicola Secomandi