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Courses - Spring 2018
CMSC
Computer Science Department Site
CMSC389F
(Perm Req)
Special Topics in Computer Science; Reinforcement Learning
Credits: 1
Grad Meth: Reg
Prerequisites: CMSC216 and CMSC250 with a grade of C- or better. Provides a theory-centric introduction to Reinforcement Learning. Students will learn the key concepts and algorithms driving Reinforcement Learning, including Markov Decision Processes, Monte Carlo Learning, and Policy Gradient methods.