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

4.8
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2,703 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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351 - 375 of 651 Reviews for Fundamentals of Reinforcement Learning

By Markus S

Nov 10, 2020

Great course, but the online programming tool used really sucks

By Cristian T

Oct 26, 2020

Great content, nicely presented! The included book also helps.

By Volodymyr F

Mar 26, 2020

A perfect introductory course into Reinforcement Learning topic

By Ba L

Jul 26, 2021

The best introduction into the world of Reinforcement Learning

By khuongnd6

Jul 18, 2021

It is a great course to start learning reinforcement learning!

By Yong C

Oct 31, 2019

It's good to learn about reinforcement learning in fundamental

By Francois L

Nov 18, 2020

Excellent, it makes the book so much more easy to understand!

By Francesco M

Aug 4, 2020

Extremely good: a stellar course for beginners in this field!

By Tanay G

Jul 19, 2020

Really liked the way material was presented and learned a lot

By Michel H

Jun 13, 2022

Awesome Course. Follows the great Sutton Book . Recommended!

By Kunal S

Oct 10, 2021

Great course. The quizzes and assignments were also perfect.

By Anubhav T

May 9, 2020

Excellent course to get introduced to Reinforcement Learning

By Max L

May 4, 2020

Awesome! Clear instruction with interesting coding example!

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 Munib A L

Feb 6, 2024

It was a nice course on foundations of RL. Learned a lot.

By Vincenzo C

Feb 16, 2022

Fantastic course. Reinforcement AI model are fascinating

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