Chevron Left
Fundamentals of Reinforcement Learning に戻る

アルバータ大学(University of Alberta) による Fundamentals of Reinforcement Learning の受講者のレビューおよびフィードバック



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....



Nov 10, 2019

I understood all the necessary concepts of RL. I've been working on RL for some time now, but thanks to this course, now I have more basic knowledge about RL and can't wait to watch other courses


Sep 07, 2019

Concepts are bit hard, but it is nice if you undersand it well, espically the bellman and dynamic programming.\n\nSometimes, visualizing the problem is hard, so need to thoroghly get prepared.


Fundamentals of Reinforcement Learning: 101 - 125 / 166 レビュー

by Pawel P

Aug 07, 2019

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

by Jhonny I C O

Dec 10, 2019

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

by Yong C

Nov 01, 2019

It's good to learn about reinforcement learning in fundamental

by Marius L

Sep 05, 2019

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

by Oleksandr M

Oct 06, 2019

Great course! Good explanations, interesting assignments.

by Garrett S

Aug 10, 2019

Explained in a very simple way, with helpful assignments.

by David P

Oct 30, 2019

Really interesting course based on Sutton and Burto book

by Chang, W C

Oct 24, 2019

I like the concept are represented in visualization way.

by Ignacio O

Aug 23, 2019

Excellent beginners course of a very interesting topic!

by Trevor M

Aug 28, 2019

Excellent material paired with excellent instruction.

by Antonio P

Nov 11, 2019

Great introductional course on Reinforcement Learning

by Yue Z

Feb 09, 2020

Everything is good except the peer review question.

by Daniel D V

Aug 24, 2019

Very well explained, with amazing examples. Thanks!

by Ankith M

Sep 07, 2019

Builds a good foundation of basic concepts of RL.

by Sriram R

Aug 24, 2019

Well organized course. Good pedagogy. Well done!

by Kyle W

Feb 16, 2020

I enjoy the programming assignments very much.

by Alejandro D

Aug 11, 2019

Excellent! Great content and delivery quality.

by Kyle N

Aug 15, 2019

great course!! thanks Adam, Martha and team!!

by Raul D M

Nov 13, 2019

One of the best courses I've had on Coursera

by Holakou R

Dec 11, 2019

Fairly comprehensive. Easy/fast to follow.

by Pachi C

Nov 03, 2019

Fantastic course in the fundamentals of RL

by Abhijeet A

Nov 09, 2019

Really good course, and not for beginner.

by Hennie d H

Sep 10, 2019

Really nice and clear course, love it :)

by Carlos E A C

Nov 08, 2019

an excellent introductory course to RL

by Sohail

Oct 07, 2019

A wonderful introduction, very fun!