EE 6190 - Reinforcement Learning and Neural Networks in Intelligent Control

Credit Hour(s): 3
Introduction to reinforcement learning and neural networks for intelligent control. Inspired by neuroscience and bio-inspired machine learning, combines deep neural networks with a reinforcement learning architecture that enables intelligent agents to learn from their actions similar to the way humans learn from experience. Emphasis on conceptual understanding of deep reinforcement learning algorithms and their applications to practical design or intelligent control systems.
Corequisite(s): EE6190L
Enrollment Restrictions: Must be enrolled in one of the following Levels: Graduate, Medical, Professional. Must be enrolled in one of the following Colleges: College of Egr & Computer Sci.

Level: Graduate
Schedule Type(s): Lecture