Chevron Left
Back to Fundamentals of Reinforcement Learning

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

4.8
stars
2,703 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

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.

HT

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:

501 - 525 of 651 Reviews for Fundamentals of Reinforcement Learning

By Nico

Mar 26, 2022

great course

By obadan s

Jul 8, 2020

GREAT COURSE

By Ben - C L Y

Jun 30, 2020

Great intro!

By Fintan K

Jun 27, 2020

Great course

By Liuhui D

Oct 11, 2019

Nice lecture

By Ruiwen W

Oct 11, 2020

Very clear!

By Noah

Apr 21, 2020

good course

By JAYSEN M

Oct 7, 2022

Excellent

By Oriol A L

Nov 4, 2020

Very good!

By Oren Z B M

Mar 22, 2020

Thank you.

By Nithiroj T

Dec 27, 2021

Very good

By BRIGHTON S U

May 16, 2021

Very nice

By Justin O

Mar 24, 2021

Fantastic

By 김경래

Dec 3, 2022

Perfect!

By Alexander K

Nov 6, 2019

loved it

By Puyuan L

Jan 24, 2020

not bad

By 최홍석

Apr 18, 2020

great!

By Tobias S

Sep 8, 2019

Great!

By JingZeng X

Sep 25, 2020

Good!

By Yetao W

Apr 23, 2020

Good!

By Nguyen V T

Nov 2, 2023

nice

By Jason D

Sep 13, 2023

good

By Zhiming Z

Nov 9, 2021

good

By Yatin T

Apr 11, 2020

Nice

By Ân V

Mar 29, 2022