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    Back to Fundamentals of Reinforcement Learning

    Learner Reviews & Feedback for Fundamentals of Reinforcement Learning by University of Alberta

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    4.8
    stars
    2,841 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...
    ...

    Top reviews

    MN

    Apr 11, 2024

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    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

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    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.

    Filter by:

    151 - 175 of 680 Reviews for Fundamentals of Reinforcement Learning

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    By Shi Y

    •

    Oct 3, 2019

    许多次尝试看UCL或者Sutton的课都中途放弃,太难了。而这个课程让我很轻松的入门且了解了最基本的东西。这个课程最不同的在于,学习时要配合上Sutton的书,课程和书互为补充,有些课程没有讲清楚的地方书中有很多解释,而书中生涩难懂的地方课程又有很形象详细的解释。体验极佳。特别感谢课程助教即使的回复。哪怕是书中的句子的问题助教都给出很详细的解释,真的很久没在Coursera上过这么棒的课了。

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    By Zhonghua Q

    •

    Sep 13, 2019

    The course is well designed. It contains the essential material of RL and relates closely with the RL Bible textbook. And the programming assignment is also benifical to understanding the basics.

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    By Sudish M

    •

    May 7, 2023

    Excellent course, with a very nice presentation style, both the professors are excellent in their presentations and the material is well researched and delivered. A very valuable course.

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    By Yanghao W

    •

    Jul 14, 2021

    Clear instruction and insightful exercises! Enjoy this course! Also, please read the book if you want to understand better about the course materials and rationales behind the exercises.

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    By Casey S S

    •

    Feb 11, 2021

    This is a relatively gentle introduction for the mathematically sophisticated, but does well to set the stage for the rest of the specialization and introduce the newcomer to the field.

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    By Apurva

    •

    Aug 17, 2021

    This course is the best course for anyone who needs to enter into the field of RL. Content within the course is excellent and instructors have explained each and every topic very well.

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    By Cesar S

    •

    May 6, 2021

    Fantastic course! I have been interested in Reinforcement Learning for a long time and this has been the best introduction I have found so far. It gave me the foundations on the field.

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    By Gagan J

    •

    Apr 26, 2020

    The concepts are explained in a simple and illustrative manner which helps in getting a better understanding of the concepts. The assignments and quizzes are also really well designed.

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    By Ravi D

    •

    Apr 25, 2020

    I was so confused about the fundamental concepts, but doing this course has given me a solid foundation of RL.

    This is a must-do course if you are starting with Reinforcement Learning.

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    By Herman C

    •

    Feb 19, 2020

    Excellent and well done course on some of the basics of RL. Good mix of lectures, reading, quizzes and programming assignments. Also a good balance between pure theory and examples.

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    By Alireza M

    •

    Jul 2, 2021

    This course is great for people who are just starting out. The programming assignments are really great and practically introduce you to the basic concepts of reinforcement learning.

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    By Fernando C

    •

    Mar 5, 2023

    The course's materials are of good quality, the recommended book and the video lessons, that are short and informative.

    The assignments also promote distinct opportunities to learn.

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    By Tianpei X

    •

    Aug 3, 2022

    This course is well-structured and helps graduate students to learn basic of reinforcement learning. It is suggested to learn while reading the book materials provided by scholars.

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    By Alvaro S

    •

    Oct 31, 2020

    This course gives you a concept of RL and clearly example to understand this concepts. Following the textbook and practice with the exercise and quizes, i learned all the concepts.

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    By nicole s

    •

    Jan 2, 2020

    Very well designed, it is clear that a lot of thought was put into the course. Also, I really liked the clarity regarding the learning objectives and the emphasis on understanding.

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    By Neil S

    •

    Aug 4, 2019

    The ideal course to go with the book Reinforcement Learning: An Introduction. The quizzes and coding workshops are pitched just right in my opinion, neither too easy nor too hard.

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    By Sean B

    •

    Sep 1, 2021

    Good course, not for the faint of heart. If you're interested in RL and have some background in ML this is a nice uphill battle that is rewarding to try to solve and eye opening.

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    By Sachin K

    •

    Dec 10, 2019

    A great introduction to RL. Credit goes to the instructors Mr and Mrs white for keep in it as simple as possible. Understanding the math behind RL is the key for the RL adventure.

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    By Austin S

    •

    Jun 6, 2020

    Pretty good intro to RL! I've taken an AI class in college, but this class really helped me understand RL in more detail, and helped me visualize how RL algorithms actually work.

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    By Eduardo I L H

    •

    Oct 15, 2020

    Excellent Course. The material the instructors, and the lectures are very good. The tests and assignments are excellent for the reinforcement of the key concepts of the course.

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    By TAOSEEF I

    •

    May 25, 2020

    The instructors made the contents very easy to understand with some good real-world examples. The course is very effective for getting the fundamental knowledge in this domain.

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    By Peter L

    •

    Aug 24, 2019

    This is a nice course. I think for people with no background in RL the pace might be a little fast. A few more examples could help them understanding the concepts more easily.

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    By Cristobal C

    •

    Jan 4, 2021

    This course is fantastic!

    But the notebooks need some tips or something to guide them, I felt confused and spent much more time than was estimated!

    Thank you very much again!

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    By Gerard S

    •

    Mar 7, 2020

    The course was nice, easy to understand and intuitive. The professors taught the concepts very well and I really liked that they included guest lectures by other professors.

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    By Alex C

    •

    Oct 30, 2024

    A very good and mathematical approach for initiating in RL. Will not give you the tools you need to solve RL with today's tools, but is the necessary begginig of this path.

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