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

4.8
stars
2,881 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

SM

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.

MN

Apr 12, 2024

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.

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351 - 375 of 687 Reviews for Fundamentals of Reinforcement Learning

By JeanLuc O

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Jul 14, 2023

Very interesting content and nice delivery. Good difficulty level.

By Farzad E b

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Jul 18, 2022

I honestly think it was one of the best course I've ever enrolled.

By DEEP P

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Jul 8, 2020

Great learning Experience and really helpful lecturers and staff.

By Alexander P

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Sep 30, 2019

Nice introduction into RL with good practical examples in Python.

By Pawel P

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Aug 8, 2019

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

By Marcin W

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Sep 25, 2023

Must-be course for everyone who wants to have introduction to RL

By Anfernee

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Aug 21, 2020

A great introduction to RL for people who have little background

By Jhonny I C O

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Dec 10, 2019

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

By Elton M G

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Jun 27, 2025

Structured to help anyone 'really' grasp the fundamentals of RL

By Shahabaj K

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May 27, 2023

Course is very well designed. And it covers concept from basics

By Markus S

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Nov 11, 2020

Great course, but the online programming tool used really sucks

By Cristian T

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Oct 27, 2020

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

By Volodymyr F

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Mar 27, 2020

A perfect introductory course into Reinforcement Learning topic

By Ba L

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Jul 27, 2021

The best introduction into the world of Reinforcement Learning

By khuongnd6

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Jul 18, 2021

It is a great course to start learning reinforcement learning!

By Yong C

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Nov 1, 2019

It's good to learn about reinforcement learning in fundamental

By Francois L

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Nov 19, 2020

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

By Francesco M

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Aug 5, 2020

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

By Tanay G

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Jul 19, 2020

Really liked the way material was presented and learned a lot

By Michel H

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Jun 13, 2022

Awesome Course. Follows the great Sutton Book . Recommended!

By Kunal S

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Oct 10, 2021

Great course. The quizzes and assignments were also perfect.

By Anubhav T

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May 9, 2020

Excellent course to get introduced to Reinforcement Learning

By Max L

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May 5, 2020

Awesome! Clear instruction with interesting coding example!

By Joost G

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Mar 27, 2020

Interesting lectures and good quizzes+programming exercises.

By Marius L

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Sep 5, 2019

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