B659 : Reinforcement Learning for Artifical Intelligence
This course will provide a comprehensive introduction to reinforcement learning as an approach to artifical intelligence, emphasizing the design of complete agents interacting with stochastic, incompletely known environments. Reinforcement learning has adapted key ideas from machine learning, operations research, psychology, and neurosciences to produce some strikingly successful engineering applications. The course will emphasize the development of intuition relating the mathematical theory of reinforcement learning to the design of human-level artificial intelligence.
Year(s) Offered: 2016
Semester(s) Offered: Spring
Class time: Tuesday, Thursday
Other Contact(s): Adam White
Books used: Sutton, R. S. and Barto, A. G. Reinforcement Learning: An Introduction. MIT Press, Cambridge, 1998.