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

4.8
stars
2,092 ratings
521 reviews

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.

NH
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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301 - 325 of 522 Reviews for Fundamentals of Reinforcement Learning

By Joost G

Mar 26, 2020

Interesting lectures and good quizzes+programming exercises.

By Marius L

Sep 5, 2019

Engaging, challenging, and the math was just doable. Thanks.

By Mr. D S J D P

Jun 5, 2020

I struggled in programming part , but a very efficient tool

By Ruosen L

Apr 2, 2020

Spent tooooooo much time on reading materials than imagine.

By Turgay P

Jul 27, 2020

Great videos and an e-book to learn the fundamentals of RL

By alex x

May 21, 2020

Very good course, hope there will be more course like this

By Qasid S

Sep 27, 2020

A well-organized introduction for Reinforcement Learning.

By Jicheng F

Jul 11, 2020

This is the best online course I've taken ever. Good job!

By Chanon K

Jun 28, 2020

A great course that really focusing on fundamentals of RL

By Adarsh

May 16, 2020

very good course .

very well explained by Adam and Martha

By Pradyumna M

Apr 3, 2020

Amazing course with optimum blend of theory and practice.

By Oleksandr M

Oct 6, 2019

Great course! Good explanations, interesting assignments.

By Garrett S

Aug 10, 2019

Explained in a very simple way, with helpful assignments.

By Sergio B

May 22, 2020

Outstanding explanations and assignments. Very hands-on.

By Da

Oct 30, 2019

Really interesting course based on Sutton and Burto book

By Chang, W C

Oct 24, 2019

I like the concept are represented in visualization way.

By Marcelo G P d L

Jun 25, 2021

This is a great introduction to Reinforcement Learning!

By Ignacio O

Aug 22, 2019

Excellent beginners course of a very interesting topic!

By Trevor M

Aug 28, 2019

Excellent material paired with excellent instruction.

By Ricardo F P T

Sep 13, 2021

Excellent introductory material. Very well explained.

By Salomon T

Jul 12, 2020

Great course, that gives a thorough foundation on RL!

By Antonio P

Nov 11, 2019

Great introductional course on Reinforcement Learning

By Gyanendra D D

Dec 11, 2020

Very good course if you follow along with the book.

By Chirag M

Nov 5, 2020

Great course! A lot of good material and insights!

By Jingxin X

May 17, 2020

Very helpful hands-on experience with the notebooks