Industrial and Systems Engineering 556:

Stochastic Systems and Reinforcement Learning (4.0 units)

Stochastic system models, Dynamic programming, Linear quadratic control, Kalman filtering and estimation, System identification, approximate dynamic programming methods, adaptive control, reinforcement and online learning.
  • Prerequisite: EE 503
  • Crosslist: This course is offered by the EE department but may qualify for major credit in ISE. To register, enroll in EE 556.
SectionSessionTypeTimeDaysRegisteredInstructorLocationSyllabusInfo
31081R048Discussion4:00-4:50pmFriday18 of 34KAP144session dates
31008R048Lecture11:00-12:20pmTue, Thu18 of 34Rahul JainSSL150PDF (101819 KB)feesession dates
Information accurate as of March 11, 2019 8:08 am.