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Learner Reviews & Feedback for Fundamentals of Reinforcement Learning by University of Alberta
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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 the exploration/exploitation tradeoff
- Understand value functions, as a general-purpose tool for optimal decision-making
- Know how to implement dynamic programming as an efficient solution approach to an industrial control problem
This course teaches you the key concepts of Reinforcement Learning, underlying classic and modern algorithms in RL. After completing this course, you will be able to start using RL for real problems, where you have or can specify the MDP.
This is the first course of the Reinforcement Learning Specialization.
Top reviews
AT
Jul 6, 2020
An excellent introduction to Reinforcement Learning, accompanied by a well-organized & informative handbook. I definitely recommend this course to have a strong foundation in Reinforcement Learning.
HT
Apr 7, 2020
This course is one of the best I've learned so far in coursera. The explanations are clear and concise enough. It took a while for me to understand Bellman equation but when I did, it felt amazing!
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651 - 653 of 653 Reviews for Fundamentals of Reinforcement Learning
By Vinh Q T
•Aug 29, 2023
Not recommended. Lack of depth and programming examples so it's easy to forget what I have studied.
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.