Adaptive Systems and Reinforcement Learning

ECSE-6480

This course contains the fundamental theory required to design adaptive systems. Topics include parameter identification, ARMA modeling, model reference systems, self-tuning systems, adaptive filtering, and reinforcement learning. Applications to engineered systems are introduced.

3 credits

Past Term Data

Offered
Not Offered
Offered as Cross-Listing Only
No Term Data
Spring Summer Fall
(Session 1) (Session 2)
2023
Adaptv Sys & Reinforcmt Lrng (3c)
  • Santiago Paternain
Seats Taken: 11/36
2022
2021
Adaptive Systems (3c)
  • Santiago Paternain
Seats Taken: 22/30
2020
2019
2018
2017
2016
2015
2014
2013
2012
2011
Adaptive Systems (3c)
  • John Wen
Seats Taken: 14/30
2010
2009
2008
2007
Adaptive Systems (3c)
  • Murat Arcak
Seats Taken: 6/36
2006
2005
Adaptive Systems (3c)
  • Murat Arcak
Seats Taken: 13/25
2004
2003
Adaptive Systems (3c)
  • Murat Arcak
Seats Taken: 12/25
2002
2001
Adaptive Systems (3c)
  • Murat Arcak
Seats Taken: 11/30
2000
1999
Adaptive Systems (3c)
  • Richard Brustol Johansen
Seats Taken: 19/30
1998