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Learner Reviews & Feedback for Fundamentals of Reinforcement Learning by University of Alberta
2,834 ratings
About the Course
Reinforcement Learning is a subfield of Machine Learning, but is also a general purpose formalism for automated decision-making and AI. This
course introduces you to statistical learning techniques where an agent explicitly takes actions and interacts with the world. Understanding the
importance and challenges of learning agents that make decisions is of vital importance today, with more and more companies interested in
interactive agents and intelligent decision-making. This course introduces you to the fundamentals of Reinforcement Learning. When you
finish this course, you will: - Formalize problems as Markov Decision Processes - Understand basic exploration methods and t...
course introduces you to statistical learning techniques where an agent explicitly takes actions and interacts with the world. Understanding the
importance and challenges of learning agents that make decisions is of vital importance today, with more and more companies interested in
interactive agents and intelligent decision-making. This course introduces you to the fundamentals of Reinforcement Learning. When you
finish this course, you will: - Formalize problems as Markov Decision Processes - Understand basic exploration methods and t...
Top reviews
MN
Apr 11, 2024
The concepts may sound confusing in the beginning, but as you go forward you find it interesting and understanding. I suggest you completely read the reading assignments before watching the videos.
KS
Sep 1, 2019
All the concepts were well explained and this course was perhaps the best I have found for RL.Great efforts have been put into making the course and It goes well in line with the suggested textbook.
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676 - 677 of 677 Reviews for Fundamentals of Reinforcement Learning
By Marc G
•Aug 24, 2023
Programming on week 1 is excessively complicated and unrealistic in terms of timing
By Jeon,Hyeon C
•Apr 6, 2021
등록 취소가 안되서 1점 드립니다.