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

4.8
stars
1,459 ratings
369 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 07, 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 08, 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 367 Reviews for Fundamentals of Reinforcement Learning

By DEEP P

Jul 08, 2020

Great learning Experience and really helpful lecturers and staff.

By Alexander P

Sep 29, 2019

Nice introduction into RL with good practical examples in Python.

By Pawel P

Aug 07, 2019

I've enjoyed it. It pushes me to do stuff and not to cut corners.

By Anfernee

Aug 21, 2020

A great introduction to RL for people who have little background

By Jhonny I C O

Dec 10, 2019

Last week of this course was nice, great programming assignment.

By Volodymyr F

Mar 26, 2020

A perfect introductory course into Reinforcement Learning topic

By Yong C

Nov 01, 2019

It's good to learn about reinforcement learning in fundamental

By Francesco M

Aug 05, 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 Anubhav T

May 09, 2020

Excellent course to get introduced to Reinforcement Learning

By Hao J ( L

May 04, 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 05, 2019

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

By Mr. D S J D P

Jun 05, 2020

I struggled in programming part , but a very efficient tool

By Ruosen L

Apr 03, 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 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 S

May 16, 2020

very good course .

very well explained by Adam and Martha

By Pradyumna M

Apr 03, 2020

Amazing course with optimum blend of theory and practice.

By Oleksandr M

Oct 06, 2019

Great course! Good explanations, interesting assignments.

By Garrett S

Aug 10, 2019

Explained in a very simple way, with helpful assignments.

By Sergio E B

May 22, 2020

Outstanding explanations and assignments. Very hands-on.

By David P

Oct 30, 2019

Really interesting course based on Sutton and Burto book