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Вернуться к Fundamentals of Reinforcement Learning

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

4.8
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Оценки: 2,499

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!

Фильтр по:

551–575 из 600 отзывов о курсе Fundamentals of Reinforcement Learning

автор: Leo M

23 авг. 2022 г.

It was very interesting. However, I found that a few of the quiz questions were not super clear.

автор: Aze A

10 дек. 2020 г.

I enjoyed the course, especially week 3 and week 4 materials. I would have like more examples.

автор: Muzammil H R

25 сент. 2022 г.

In the programming assignments, there should be access to libraries of agent environment etc.

автор: Fateme S

28 июля 2022 г.

Thanks for the amazing course! It would be great if we had access to the lecture slides.

автор: Nga T

27 дек. 2021 г.

I dont understand the two games in this course. I have no idea how to mark them as done.

автор: Daxkumar J

3 февр. 2020 г.

this is a basic course of the RL and its very great to learn with University Alberta.

автор: Simon N

20 дек. 2020 г.

Very good introduction. Helps you get through Sutton and Barto (free pdf supplied).

автор: Anirudh B

13 мая 2020 г.

Needs more coding implementation according to me. But overall theory was good.

автор: Zia M U D

4 мая 2020 г.

Tutors are fantastic, but should also focus on programming not just on theory.

автор: Mohamed H

14 февр. 2020 г.

I think it will be perfect if the board and pen are used to drive equations.

автор: Maxim V

6 янв. 2020 г.

Good content, but most of it is in the textbook, not so much in the videos.

автор: Eli K

31 окт. 2021 г.

Programming exercises teach the material a lot better than quizzes

автор: Sriram S

17 апр. 2020 г.

The course was cool but needed some more programming assignments.

автор: Francisco R

15 июня 2020 г.

Excellent in terms of learning the foundations of RL.

автор: 袁之日

29 мар. 2021 г.

There could be more coding examples for each module.

автор: Jeroen v H

17 окт. 2019 г.

Quite theoretical. But a good base of the concepts.

автор: rupesh s

6 окт. 2022 г.

More elaboration on the maths part will help.

автор: Luis G B

7 нояб. 2022 г.

Good, but it just introduce the fundamentals

автор: Husam D

4 нояб. 2019 г.

I wished there were more coding assignments

автор: Shahram E

25 июня 2020 г.

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автор: Matin S

13 янв. 2022 г.

it was a bit hard in code assignments

автор: Mark R

26 окт. 2019 г.

Interesting course.

автор: Arnaud 3

10 окт. 2021 г.

good course

автор: Abhishek U

21 янв. 2022 г.

Great

автор: 배병선

31 окт. 2019 г.

Good!