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

Prereqs:

ECSE-2500 Engineering Probability

and

ECSE-6400 Systems Analysis Techniques

Past Term Data

Offered

Not Offered

Offered as Cross-Listing Only

No Term Data

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	Spring	Summer		Fall
		(Session 1)	(Session 2)
2024
2023	Adaptv Sys & Reinforcmt Lrng (3c) Santiago Paternain Seats Taken: 10/36
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