Chevron Left
Back to Fundamentals of Reinforcement Learning

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

2,473 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


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.


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:

76 - 100 of 590 Reviews for Fundamentals of Reinforcement Learning

By Tom W

Nov 14, 2020

By Shashank S

Apr 13, 2020

By Inge J

Sep 2, 2021

By George M

Mar 5, 2021

By Dmitry N

Oct 24, 2020

By Stelios S

May 11, 2020

By Ali N

Apr 1, 2020

By Alejandro A Z

Jul 20, 2020

By Иванов К С

Aug 29, 2019

By Hannan K

Oct 19, 2022

By Nicolas T

Apr 26, 2020

By Anton P

Dec 14, 2019


Dec 28, 2020

By Sandesh J

Jun 1, 2020

By Sara S

Dec 28, 2020

By Giulio C

Jun 25, 2020

By Bae,Bongsung

Apr 20, 2020

By Majd W

Oct 24, 2019

By Juan C E

Feb 9, 2020

By Rohit P

Jul 25, 2020

By Tolga K

Oct 15, 2020

By Yover M C C

Mar 1, 2020

By Le Q A

Aug 2, 2020

By Evgeny S

Apr 18, 2020

By Ayan S

Mar 18, 2021