List of all ROB courses

Information
4 Credits
Fall term, odd years
Lecture

Prerequisites
ME 373 or ME 373H
or ECE 353 or CS 331
(recommended)
Contact
Kagan Tumer
541.737.9899
314 Graf Hall

Course Description

Techniques for developing autonomous learning based controllers using evolutionary algorithms and reinforcement learning.  Emphasis on model-free control techniques.

Topics

  • Neural networks
  • Evolutionary algorithms
  • Reinforcement learning
  • Multiagent systems
  • State estimation
  • Planning

Learning Outcomes

The student, upon successful completion of this course, will be able to:

  1. Use neural networks to control nonlinear systems.
  2. Use reinforcement learning to control nonlinear systems.
  3. Read and assess technical papers in learning based control.
  4. Produce a research paper on learning based control.