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Course basics CSE 190: Reinforcement Learning: An …

CSE 190: Reinforcement Learning: An Introduction22 CSE 190: Reinforcement learning , Lecture 1 CSE 190: Reinforcement learning , Lecture 1 Course basics The website for the class is linked off my homepage. Grades will be based on programming assignments, homeworks, andclass participation. Homeworks will be turned in, but not graded, as we will discuss theanswers in class in small groups. Turning it in means I can see that youare holding up your end of the conversation (this is a major part ofclass participation!) Programming assignments will be graded AnyAny email sent to me about the Course should have CSE 190 in thesubject line!33 CSE 190: Reinforcement learning , Lecture 1 CSE 190: Reinforcement learning , Lecture 1 Course goals After taking this Course you should: Understand what is unique about Reinforcement learning Understand the tradeoff between exploration and exploitation Be conversant in Markov Decision Problems (MDPs) Know the various solution methods for solving the RL problem: Dynamic programming (value iteration, policy iteration, etc.)

CSE 190: Reinforcement Learning: An Introduction CSE 190: Reinforcement Learning, Lecture 1 2 Course basics •The website for the class is linked off my homepage. •Grades will be based on programming assignments, homeworks, and class participation. •Homeworks will be turned in, but not graded, as wewill discuss the answers in class in small groups.

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