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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

1,346 個評分
343 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!


201 - Fundamentals of Reinforcement Learning 的 225 個評論(共 341 個)

創建者 Bill F

Jul 11, 2020

This is the best online course I've taken ever. Good job!

創建者 Chanon K

Jun 28, 2020

A great course that really focusing on fundamentals of RL

創建者 Adarsh

May 16, 2020

very good course .

very well explained by Adam and Martha

創建者 Pradyumna M

Apr 03, 2020

Amazing course with optimum blend of theory and practice.

創建者 Oleksandr M

Oct 06, 2019

Great course! Good explanations, interesting assignments.

創建者 Garrett S

Aug 10, 2019

Explained in a very simple way, with helpful assignments.

創建者 Sergio E B

May 22, 2020

Outstanding explanations and assignments. Very hands-on.

創建者 David P

Oct 30, 2019

Really interesting course based on Sutton and Burto book

創建者 Chang, W C

Oct 24, 2019

I like the concept are represented in visualization way.

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 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.