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Avis et commentaires pour d'étudiants pour Fundamentals of Reinforcement Learning par Université de l'Alberta

4.8
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2,499 évaluations

À propos du cours

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....

Meilleurs avis

AT

6 juil. 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

7 avr. 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!

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151 - 175 sur 600 Avis pour Fundamentals of Reinforcement Learning

par Sachin K

10 déc. 2019

A great introduction to RL. Credit goes to the instructors Mr and Mrs white for keep in it as simple as possible. Understanding the math behind RL is the key for the RL adventure.

par Austin S

6 juin 2020

Pretty good intro to RL! I've taken an AI class in college, but this class really helped me understand RL in more detail, and helped me visualize how RL algorithms actually work.

par Eduardo I L H

16 oct. 2020

Excellent Course. The material the instructors, and the lectures are very good. The tests and assignments are excellent for the reinforcement of the key concepts of the course.

par TAOSEEF I

26 mai 2020

The instructors made the contents very easy to understand with some good real-world examples. The course is very effective for getting the fundamental knowledge in this domain.

par Peter L

24 août 2019

This is a nice course. I think for people with no background in RL the pace might be a little fast. A few more examples could help them understanding the concepts more easily.

par Cristobal C

4 janv. 2021

This course is fantastic!

But the notebooks need some tips or something to guide them, I felt confused and spent much more time than was estimated!

Thank you very much again!

par Gerard A C S

7 mars 2020

The course was nice, easy to understand and intuitive. The professors taught the concepts very well and I really liked that they included guest lectures by other professors.

par Julien S

15 mars 2020

Best course on basics of Reinforcement Learning so far. Clear explanations, relevant quizz and coding exercises to really understand what we are dealing with in this field.

par Ivan S F

31 août 2019

Very practical and learning-oriented. Providing the textbook in PDF is a big plus. I think there should be more programming exercises. Great course anyway. Worth taking it.

par André B

1 déc. 2019

I really enjoyed this course. The examples and the infrastructure provided (jupyter notebooks as assingments) made this course one of the best MOOCs that I have ever taken

par Claudio C

22 févr. 2021

I was surprised how much this course challenged me compared to others I have taken on this platform.

It strongly demands the viewer to understand the topic of the course.

par Phil K M

22 août 2020

I have learned a lot about the fundamental of reinforcement learning! Thanks a lot!

Two instructors are delivering an excellent course and the whole team did a great job!

par Christian R

15 avr. 2020

I had some exposure to RL before but this course really tied together many things I learned so far and I'm very much looking forward to the rest of this specialization.

par Mustafa K

4 janv. 2022

hws, quizzes, lectures were all prepared with great care!!!

definitely makes you learn the basics...

looking forward to the remaining 3 courses in this specialization...

par Matias A

13 févr. 2020

Great course in general. Very clear step-by-step explanations of the theory needed to understand, plus practical examples to be able to fully understand the concepts.

par Aditya S

17 avr. 2020

Great course, To be honest this course has made my concepts very clear, and I highly appreciate the way Martha ma'am and Adam sir taught. I really enjoyed the course.

par Aditya J

16 sept. 2019

Impressed by the knowledge of professors in the video and inspite of that they took so much interest in teaching minor concepts to students which are trivial to them.

par Gowtham R

26 janv. 2020

Amazing course! This course goes through the fundamentals of RL covering both theory and practicals(through programming assignments). The book is also great to read.

par Qianbo Y

8 janv. 2020

A very good course integrated with Sutton and Barto textbook. A good foundation of RL can be learned from this class. It also balances well with theory and practice.

par Abhijeet

1 oct. 2020

It is a good course to get an idea about what reinforcement learning is and what are its wide application. It covers the basic concepts and is very well organized.

par Singhi K

8 août 2019

Good course following the classic book but it is kept at an easy pace for diverse people to be able to understand and apply the concepts of reinforcement learning.

par Yangjiong Z

9 mai 2020

best reinforcement learning on the cousera so far! all the concepts are presented in a very clear manner and plenty examples provided to facilitate understanding.

par Max C

23 oct. 2019

Got me kickstarted with RL pretty well. I tried reading the RL book myself previously, but having complementary lectures and assignments made all the difference.

par Christian S

2 sept. 2019

great course; well explained and exercises reinforce the learnt material. also, great that this course uses Sutton's and Barto's book on reinforcement learning.

par Fabio C

31 oct. 2022

Well structured course. Well organized quiz elements and informative laboratory assignments which help understanding the mechanisms of reinforcement learning.