Course Catalog and Schedule

Emerging Areas in Operations Managements (OPNS-525-0)
1.00 Credit
TCE BidStats

This course offers an advanced introduction to topics at the intersection of statistical (machine) learning and sequential decision-making. A tentative course plan is as follows. We will begin by covering classic work on optimal hypothesis testing when data can be gathered sequentially and interactively. The second part of the class focuses on bandit learning and the design and analysis of algorithms that balance exploration/exploitation. The last part of the course introduces reinforcement learning, including methods for value function approximation and algorithms for efficient exploration.


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