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

4.8
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2,532 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 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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201 - 225 of 609 Reviews for Fundamentals of Reinforcement Learning

By laxmikanta s

Dec 30, 2020

Great Content, Superb explanation with solid examples. Quiz and Assignment are really helpful to improve understanding on the topic.

By KSHITIJ B

May 22, 2020

The basics are really introduced in a manner that one can easily build upon after reading the readings provided , enjoyed the course

By Animesh

Feb 15, 2020

I found this course very interesting. The basic concepts are explained very nicely. This course is great when a RL-noob like me : D

By Mert I

Aug 19, 2019

The concepts are explained in a very simple manner. Reading book then watching videos helps a lot to understand the essential ideas.

By Cesar A G

Jul 13, 2020

Well structured and thought examples that expand the information on the textbook. The programming assignments are very well built.

By Suresh

Sep 21, 2020

Awesome introduction to Reinforcement Learning. The explanations are very precise and the complex concepts were easy to follow

By DEVANSHU S

Sep 8, 2020

Beautifully explains concepts in an intuitive fashion, although the addition of proofs of convergence would have been great :)

By Rodrigo P S

Nov 16, 2022

It was quite challenging for me, but the videos help a lot. I found some interesting bugs, but I got more Python experience.

By Nikhil G

Nov 25, 2019

Excellent course companion to the textbook, clarifies many of the vague topics and gives good tests to ensure understanding

By Arvin N

May 9, 2020

This course was great, but I think it is not complete. I have to pass the other courses in this specialization for sure.

By Allyson D d L

Apr 22, 2022

The course is very good! Basic but because it's only the beginning of the specialization. I am exciting to complete it.

By Evrim A

Nov 16, 2020

The course content is superb. As a suggestion, some coding and problem-solving content (as videos) would be outstanding

By Dylan R

Feb 22, 2020

Great course, reading the textbook was difficult at times, but the professors really helped me in understanding it all!

By Mohamed R M F

Jun 23, 2021

it's my first time learn what is reinforcement learning and this course really helped me to get the fundamentals of it

By Chamakoora S R

Jul 14, 2020

Not only this course was conceptually sound, it had inspirational sessions with researches who made big breakthroughs.

By AhmadrezaSheibanirad

Oct 27, 2019

This course is one of the great online course in Coursera which help people dig into reinforcement learning correctly.

By Andis R

Feb 15, 2020

Thank you very much for putting effort in this one !!! I was looking for such a course for some time already, thanks.

By Daniel R G

May 22, 2020

Genial curso, los temas dados son demasiado interesantes, a veces un poco dificiles de entender pero nada imposible.

By Bigyan K

Mar 3, 2020

Very well organized, and easy to follow with the RL book! Highly recommend this course in conjunction with the book.

By Remo H

Jan 31, 2021

Good explanations and very nice exercises. If I could wish something it would be to have more programming examples.

By Dinh-Son V

Jul 17, 2020

The presenters are amazing. Their voice are clear and charming and make you want to continue your journey into RL.

By Korosh T

May 22, 2021

Fantastic course. I learned a lot. The teachers are really great and the programming assignments are very useful.

By Mathew

Jun 7, 2020

Very well structured and a great compliment to the Reinforcement Learning (2nd Edition) book by Sutton and Barto.

By Erik S

Jan 16, 2022

Instructors have put a lot off effort into this course and I like the style of reading and high qualitiy videos!

By Abram G

Jan 12, 2022

Very good introduction to RL. every week is explained well and like stairs every week completes the week before