ORIE 6590

Last Updated

  • Schedule of Classes - February 16, 2018 10:59AM EST
  • Course Catalog - February 12, 2018 11:18AM EST

ORIE 6590
Approximate Dynamic Programming

Course information provided by the 2017-2018 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.

View Enrollment Information

Syllabi: none

  •   Regular Academic Session.  Combined with: ORIE 6590

  • 3 Credits Stdnt Opt

  • 17188 ORIE 6590   LEC 001

  •  

  • Instruction Mode: In Person

Syllabi: none

  •   Regular Academic Session.  Combined with: ORIE 6590

  • 3 Credits Stdnt Opt

  • 17189 ORIE 6590   LEC 031

  •  

  • Instruction Mode: Distance Learning - WWW

    Taught in NYC. Enrollment limited to: Cornell Tech PhD students. Taught via distance learning, streamed from Ithaca.