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学生对 阿尔伯塔大学 提供的 Fundamentals of Reinforcement Learning 的评价和反馈

4.8
583 个评分
149 条评论

课程概述

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....

热门审阅

PV

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

AB

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.

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101 - Fundamentals of Reinforcement Learning 的 125 个评论(共 148 个)

创建者 Ignacio O

Aug 23, 2019

Excellent beginners course of a very interesting topic!

创建者 Trevor M

Aug 28, 2019

Excellent material paired with excellent instruction.

创建者 Antonio P

Nov 11, 2019

Great introductional course on Reinforcement Learning

创建者 Daniel D V

Aug 24, 2019

Very well explained, with amazing examples. Thanks!

创建者 Ankith M

Sep 07, 2019

Builds a good foundation of basic concepts of RL.

创建者 Sriram R

Aug 24, 2019

Well organized course. Good pedagogy. Well done!

创建者 Alejandro D

Aug 11, 2019

Excellent! Great content and delivery quality.

创建者 Kyle N

Aug 15, 2019

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

创建者 Raul D M

Nov 13, 2019

One of the best courses I've had on Coursera

创建者 Holakou R

Dec 11, 2019

Fairly comprehensive. Easy/fast to follow.

创建者 Pachi C

Nov 03, 2019

Fantastic course in the fundamentals of RL

创建者 Abhijeet A

Nov 09, 2019

Really good course, and not for beginner.

创建者 Hennie d H

Sep 10, 2019

Really nice and clear course, love it :)

创建者 Carlos E A C

Nov 08, 2019

an excellent introductory course to RL

创建者 Sohail

Oct 07, 2019

A wonderful introduction, very fun!

创建者 Stewart A

Aug 31, 2019

Great course from the home of RL

创建者 Abubakr B

Sep 03, 2019

Very engaging and informative

创建者 Andrew D G

Aug 24, 2019

A really excellent course!

创建者 Shaji, N

Aug 13, 2019

It is the perfect course.

创建者 Payam M

Nov 17, 2019

I learned a lot! Thanks

创建者 Ashish S

Sep 07, 2019

learned a lot, thanks !

创建者 Marvin F

Aug 03, 2019

Good introduction :-)

创建者 Md O H

Aug 13, 2019

Excellent course

创建者 PRASHANT K R

Jan 11, 2020

It's awesome!

创建者 Atamert A

Nov 17, 2019

Great course!