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A I X94R A I 394R  Reinforcement Learning: Theory and Practice  3 Hours

3 Lecture Hours  0 Lab Hours  
Introduction to the theory and practice of modern reinforcement learning, with emphasis on temporal difference learning algorithms. Only one of the following may be counted: Artificial Intelligence 394R, Computer Science 394R, Data Science 394R, 395T (Topic: Reinforcement Learning) Three lecture hours a week for one semester.
Pre/Corequisites: Graduate standing.  
Grading: Student Option  
Repeatable for credit: No  
Academic Level: Master's