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Вернуться к Fundamentals of Reinforcement Learning

Отзывы учащихся о курсе Fundamentals of Reinforcement Learning от партнера Альбертский университет

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Оценки: 2,361
Рецензии: 559

О курсе

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....

Лучшие рецензии

AT

6 июля 2020 г.

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 апр. 2020 г.

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 из 564 отзывов о курсе Fundamentals of Reinforcement Learning

автор: Gerard A C S

7 мар. 2020 г.

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.

автор: Julien S

15 мар. 2020 г.

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.

автор: Ivan S F

31 авг. 2019 г.

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.

автор: André B

1 дек. 2019 г.

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

автор: Claudio C

22 февр. 2021 г.

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.

автор: Phil K M

22 авг. 2020 г.

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!

автор: Christian R

15 апр. 2020 г.

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.

автор: Mustafa K

4 янв. 2022 г.

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...

автор: Matias A

13 февр. 2020 г.

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.

автор: Aditya S

17 апр. 2020 г.

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.

автор: Aditya J

16 сент. 2019 г.

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.

автор: Gowtham R

26 янв. 2020 г.

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.

автор: Qianbo Y

8 янв. 2020 г.

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.

автор: Abhijeet

1 окт. 2020 г.

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.

автор: Singhi K

8 авг. 2019 г.

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.

автор: Yangjiong Z

9 мая 2020 г.

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.

автор: Max C

23 окт. 2019 г.

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.

автор: Christian S

2 сент. 2019 г.

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.

автор: İbrahim Y

18 сент. 2020 г.

The course gives basic ideas for introductory concepts for RL. This course is recommended for RL learners who would like to get some basic intuitions for RL.

автор: Antonio P R

3 апр. 2021 г.

Very detailed introduction to Reinforcement Learning. The course introduces all the necessary math and probability required to better understand this field.

автор: S R D

9 февр. 2021 г.

Simple and intuitive learning material. Creators of this course has taken care to introduce concepts in a learner friendly manner unlike most courses here.

автор: FERNANDO L S

26 апр. 2020 г.

Extraordinary material. Good examples and exercises. Works very well if you take the lessons together with reading the book. Congratulations on the course!

автор: shengjian c

1 сент. 2019 г.

This is a very helpful courses to help me walk through the Reinforcement Learning book with different kind of practices. Looking forward to taking course2!

автор: Tingting X

6 авг. 2019 г.

I love their way of teaching, they ask you to read, understand firstly, and then start to give a lecture about what it is, which helps a lot to understand.

автор: Mengyu T

4 июля 2021 г.

Very clearly explained videos that makes it easy to follow the textbook. Programing assignments and quizzes + explanation help understanding a lot!