ORIE 6590

ORIE 6590

Course information provided by the Courses of Study 2020-2021.

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.

When Offered Spring.

Prerequisites/Corequisites Prerequisite: ORIE 6500 or equivalent.

View Enrollment Information

Syllabi: none
  •   Regular Academic Session. 

  • 3 Credits Stdnt Opt

  • 17773 ORIE 6590   LEC 001

    • MW Online Meeting
    • Feb 8 - May 14, 2021
    • Dai, J

      Xie, Q

  • Instruction Mode: Online
    The Wednesday session will meet every week but the Monday session will meet every other week.