Course Information

Course Name	Turkish	İşletme Uygulamaları için Pekiştirilmiş Öğrenme
	English	Reinforcement Learning for Business Applications
Course Code	VIA 529E	Credit	Lecture (hour/week)	Recitation (hour/week)	Laboratory (hour/week)
Semester	-	3	3	-	-
Course Language		English
Course Coordinator		Mehmet Yasin Ulukuş Mehmet Yasin Ulukuş
Course Objectives		1. To introduce theory of Markov decision problems and reinforcement learning 2. To introduce different reinforcement learning techniques 3. To implement different reinforcement learning techniques to various problems 4. To introduce performance evaluation of reinforcement learning techniques
Course Description		This course provides an introduction to some of the foundational ideas of reinforcement learning, including Markov decision processes, value functions, Monte Carlo estimation, dynamic programming, temporal difference learning, eligibility traces, and function approximation. However, we will also cover additional material drawn from the latest deep Reinforcement Learning literature. Programming assignments and projects will require implementing and testing these techniques for various problems.
Course Outcomes
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Required Facilities
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Textbook
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