Chevron Left
Back to Fundamentals of Reinforcement Learning

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

4.8
stars
2,118 ratings
526 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!

Filter by:

351 - 375 of 528 Reviews for Fundamentals of Reinforcement Learning

By Carl

Dec 3, 2020

Solid course for laying foundations for RL

By asphinjohn

Oct 13, 2020

Had a clear idea of Reinforcement learning

By Holakou R

Dec 11, 2019

Fairly comprehensive. Easy/fast to follow.

By Pachi C

Nov 3, 2019

Fantastic course in the fundamentals of RL

By Gösta F

Sep 21, 2021

Nice balance between reading and lectures

By Vahid G

Jun 27, 2021

Fantastic Course! Thanks Martha and Adam!

By Lei Z

Oct 21, 2020

Get a lot useful knowledge, thanks a lot!

By Abhijeet A

Nov 8, 2019

Really good course, and not for beginner.

By MD M R S

Jan 1, 2021

Makes Sutton and Bartos book great again

By Hennie d H

Sep 10, 2019

Really nice and clear course, love it :)

By Samuel R

Aug 17, 2020

Requires medium/high programming skills

By Manikant R

Jul 26, 2020

Great course, instructors are too good!

By 汤皓玥

May 26, 2020

Very Nice and Fundamental course in MDP

By Carlos E A C

Nov 8, 2019

an excellent introductory course to RL

By Po-Ya H

Jun 15, 2020

Great course to learn RL fundamentals

By Javier R

Apr 23, 2020

Very good introduction to this field!

By Areej M Z

Apr 11, 2020

Very useful and well explained course

By Josep M P

Oct 2, 2020

Very usefull and interesting course!

By shailesh k

Apr 5, 2020

Very well explained, learned a lot.

By Sohail R

Oct 7, 2019

A wonderful introduction, very fun!

By Sertaç C

Apr 3, 2021

great course, amazing instructors

By Han-Chung L

Aug 3, 2020

Detailed but challenging course.

By Stewart A

Aug 30, 2019

Great course from the home of RL

By Yanhao Z

Mar 19, 2020

This is a perfect introduction!

By Mattheus d k

Mar 12, 2020

Good course, not for beginners!