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學生對 阿尔伯塔大学 提供的 Fundamentals of Reinforcement Learning 的評價和反饋

1,459 個評分
369 條評論


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....



Jul 07, 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 08, 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!


226 - Fundamentals of Reinforcement Learning 的 250 個評論(共 366 個)

創建者 Ignacio O

Aug 23, 2019

Excellent beginners course of a very interesting topic!

創建者 Trevor M

Aug 28, 2019

Excellent material paired with excellent instruction.

創建者 Salomon T

Jul 12, 2020

Great course, that gives a thorough foundation on RL!

創建者 Antonio P

Nov 11, 2019

Great introductional course on Reinforcement Learning

創建者 Jingxin X

May 17, 2020

Very helpful hands-on experience with the notebooks

創建者 Yue Z

Feb 09, 2020

Everything is good except the peer review question.

創建者 Daniel D V

Aug 24, 2019

Very well explained, with amazing examples. Thanks!

創建者 Mark P

May 19, 2020

Excellent intro. Well paced, clear videos. Thanks!

創建者 Pratyush M

Jun 15, 2020

some more practical implementation can be better.

創建者 Maria D

May 23, 2020

Challenging but helpful, awesome practical tasks!

創建者 Ankith M

Sep 07, 2019

Builds a good foundation of basic concepts of RL.

創建者 Sriram R

Aug 24, 2019

Well organized course. Good pedagogy. Well done!

創建者 Đàm T T

Aug 24, 2020

perfect for who want to getting started with RL

創建者 Debadri B

May 29, 2020

Very good course for understanding basics of RL

創建者 Eduardo F d S

Jul 26, 2020

Good material and very well organized. Thanks!

創建者 Sandro M A T

Mar 23, 2020

Great introduction to Reinforcement Learning!!

創建者 Kyle W

Feb 16, 2020

I enjoy the programming assignments very much.

創建者 Alejandro D

Aug 11, 2019

Excellent! Great content and delivery quality.

創建者 Kyle N

Aug 15, 2019

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

創建者 Alexis O

Apr 25, 2020

Quality course to learn the fundamentals...!

創建者 Raul D M

Nov 13, 2019

One of the best courses I've had on Coursera

創建者 Holakou R

Dec 11, 2019

Fairly comprehensive. Easy/fast to follow.

創建者 Pachi C

Nov 03, 2019

Fantastic course in the fundamentals of RL

創建者 Abhijeet A

Nov 09, 2019

Really good course, and not for beginner.

創建者 Hennie d H

Sep 10, 2019

Really nice and clear course, love it :)