ORIE 6590
Last Updated
- Schedule of Classes - May 15, 2019 12:56PM EDT
- Course Catalog - March 4, 2019 1:00PM EST
Classes
ORIE 6590
Course Description
Course information provided by the 2018-2019 Catalog.
This course develops theories and algorithms for optimal sequential decision making under uncertainty. The emphasis will be on approximate algorithms to deal with large-scale decision models that can be highly uncertain. Various bounding techniques in recent literature will be covered. The course will intersect with traditional topics such as Markov decision processes, reinforcement learning, and bandit problems.
Prerequisites/Corequisites Prerequisite: ORIE 6500 or equivalent.
When Offered Fall.
Regular Academic Session.
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Credits and Grading Basis
3 Credits Stdnt Opt(Letter or S/U grades)
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Class Number & Section Details
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Meeting Pattern
- TR Phillips Hall 407
Instructors
MINCA, A
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Additional Information
Instruction Mode: In Person