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Courses - Fall 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; and permission of the Computer Science department.

This course provides an overview of the key concepts and algorithms of Reinforcement Learning, an area of artificial intelligence research responsible for recent achievements such as AlphaGo and robotic control. Students will implement learning algorithms for simple tasks such as mazes and pong games.