Chevron Left
Вернуться к Fundamentals of Reinforcement Learning

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

Оценки: 2,359
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


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.


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:

226–250 из 564 отзывов о курсе Fundamentals of Reinforcement Learning


27 июня 2021 г.

G​reat course. You can get the mathematical background of reinforcemet learning through this course

автор: Michel D

13 дек. 2020 г.

Great class with short focussed videos that highlight key concepts, perfect complement to the book!

автор: S. K G P

1 мая 2020 г.

It is a perfect, engaging and very information course. I thoroughly enjoyed it and learned a lot!!

автор: shivansh n

21 сент. 2020 г.

Its tougher than the other courses I have taken on ML and DL. Provides a solid foundation for RL

автор: MIN H H _

4 сент. 2020 г.

Very informative and challenging for beginners who are starting to learn Reinforcement Learning.

автор: Lik M C

2 янв. 2020 г.

It is a great course! The concepts are elaborated very clear. The materials are well prepared.

автор: Christos P

11 дек. 2019 г.

Great reading material and videos. The assignments really help to better understand the theory.

автор: SARVESH P

2 мая 2021 г.

Excellent way of teaching and good assignments. Had a lot of fun and learnt a lot too! Thanks!

автор: Bhavya G G

14 апр. 2021 г.

Great course. With the combination of the book attached, you can understand everything clearly

автор: Roberto M

26 мар. 2020 г.

I really appreciated the course. Explanations are very clear and the material is well thought.

автор: Prachi S

2 февр. 2021 г.

I got to learn the basics of Reinforcement Learning in a very easy and understandable manner.

автор: Edwin N P P

15 мая 2021 г.

It is well edited and oriented. However they go so fast and we cannot understand everything

автор: Thomas N

28 авг. 2020 г.

Really exceptionally clear - I had to battle through some of the math, but it was worth it.

автор: Sergio Z P

9 апр. 2020 г.

Very good course to learn, understand and apply the Fundamentals of Reinforcement Learning!

автор: Zhongzhu Z

20 авг. 2021 г.

Amazing course. But a little bit easy for the people who have learnt RL's prior knowledge.

автор: Weei D

19 окт. 2020 г.

This is an awesome course. Assignments are not that hard, and concepts are well explained.

автор: Bartłomiej B

18 апр. 2020 г.

Awesome course with a lot of interesting knowledge presented and a lot of its applications

автор: Wang G

9 окт. 2019 г.

Very detailed explanations in the foundations of RL. Thanks both lecturers and the staffs!

автор: John H

17 сент. 2019 г.

Very good, I suggest reading the text closely and doing exercises to get the most benefit.

автор: Eyal I

14 янв. 2021 г.

All the material is given in a clear manner, but not at the expense of going into depths.

автор: Rohan S

7 авг. 2020 г.

Really great course for all the beginners who want to learn about Reinforcement Learning.

автор: Ivan O C

27 июня 2021 г.

Nice introduction to RL fundamentals... I think is a challenge topic but so exciting ...

автор: Jerry H

18 нояб. 2020 г.

Great introduction to Reinforcement Learning, interesting and covered a lot of material.

автор: Maurice M

30 июня 2021 г.

Excellent first introduction coursework is light Lectures are direct and to the point.

автор: Mahmoud M A M

5 мая 2021 г.

Great intro with nice coding assignments that helps to understand the algorithms better