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Course ID:	CSCI(ARTI) 4600/6600. 3 hours.
Course Title:	Reinforcement Learning
Course Description:	Reinforcement learning studies methods for learning to act optimally based on the reward or punishment over time. Such machine learning is useful when we wish to learn high-quality behavior under uncertainty and the only data are reward signals. Introduces classical and modern methods in single- and multi-agent settings.
Athena Title:	Reinforcement Learning
Prerequisite:	CSCI(PHIL) 4550/6550
Semester Course Offered:	Not offered on a regular basis.
Grading System:	A-F (Traditional)

Syllabus: No Syllabus Available