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
31296D048Lecture2:00-3:50pmTue, Thu25 of 40Rahul JainGFS116 & ONLINEPDF (108471 KB)feesession dates
30491R048Discussion9:00-9:50amThursday25 of 40Rahul JainSLH102 & ONLINEfeesession dates
Information accurate as of September 10, 2021 5:03 pm.
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