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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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151 - 175 of 521 Reviews for Fundamentals of Reinforcement Learning

By Aditya J

Sep 16, 2019

Impressed by the knowledge of professors in the video and inspite of that they took so much interest in teaching minor concepts to students which are trivial to them.

By Gowtham R

Jan 26, 2020

Amazing course! This course goes through the fundamentals of RL covering both theory and practicals(through programming assignments). The book is also great to read.

By Qianbo Y

Jan 8, 2020

A very good course integrated with Sutton and Barto textbook. A good foundation of RL can be learned from this class. It also balances well with theory and practice.

By Abhijeet

Oct 1, 2020

It is a good course to get an idea about what reinforcement learning is and what are its wide application. It covers the basic concepts and is very well organized.

By Saikat M

Aug 8, 2019

Good course following the classic book but it is kept at an easy pace for diverse people to be able to understand and apply the concepts of reinforcement learning.

By Yangjiong Z

May 9, 2020

best reinforcement learning on the cousera so far! all the concepts are presented in a very clear manner and plenty examples provided to facilitate understanding.

By Max C

Oct 23, 2019

Got me kickstarted with RL pretty well. I tried reading the RL book myself previously, but having complementary lectures and assignments made all the difference.

By Christian S

Sep 2, 2019

great course; well explained and exercises reinforce the learnt material. also, great that this course uses Sutton's and Barto's book on reinforcement learning.

By İbrahim Y

Sep 18, 2020

The course gives basic ideas for introductory concepts for RL. This course is recommended for RL learners who would like to get some basic intuitions for RL.

By Antonio P R

Apr 3, 2021

Very detailed introduction to Reinforcement Learning. The course introduces all the necessary math and probability required to better understand this field.

By S R D

Feb 9, 2021

Simple and intuitive learning material. Creators of this course has taken care to introduce concepts in a learner friendly manner unlike most courses here.

By FERNANDO L S

Apr 26, 2020

Extraordinary material. Good examples and exercises. Works very well if you take the lessons together with reading the book. Congratulations on the course!

By shengjian c

Sep 1, 2019

This is a very helpful courses to help me walk through the Reinforcement Learning book with different kind of practices. Looking forward to taking course2!

By June X

Aug 6, 2019

I love their way of teaching, they ask you to read, understand firstly, and then start to give a lecture about what it is, which helps a lot to understand.

By Mengyu T

Jul 4, 2021

Very clearly explained videos that makes it easy to follow the textbook. Programing assignments and quizzes + explanation help understanding a lot!

By dmin d

Mar 19, 2021

Very good. Has a great book suppliment to better understand the concept. The lecture and the book is highly related. So it's much easier to study.

By 刘旻星

Jul 1, 2020

Getting through this course, i know about Reinforcement learning more systematically. And a solid foundamental knowledge is a beginning of success

By Li L

Aug 11, 2020

Awesome course! The concepts and basic ideas are made very clear through the videos and assignments. The programming assignments are also useful.

By Guruprasad

Jul 9, 2021

Assignments were the really useful to master the theoretical concepts. Instructors are really doing a good job in keeping the content crisp.

By vishal s

Aug 13, 2020

Nice course for people who are beginning Reinforcement Learning ,as the course takes you slow and steady by strengthning your basic concepts

By Rudi C

May 31, 2020

A great introduction to the field of RL. The referenced textbook is amazing and the implementation of the algorithms is fun and instructive!

By braghadeesh

Jul 31, 2019

Great course and awesome instructors. Wish this course should have been announced much earlier. Thanks for offering such a wonderful course.

By Dhar R

Oct 23, 2020

Excellent course. The concepts are quite abstract, so I expect to revisit them a few times again. Otherwise, it could all evaporate. Lol!

By Shashikant P

Dec 29, 2020

Excellent introduction to Reinforcement Learning. The examples used to make students understand the various concepts were truly amazing.

By Lukas S

Dec 23, 2019

Very well structured, good examples, and helpful quizzes. I think (even) more programming assignments would make the course even better.