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Opiniones y comentarios de aprendices correspondientes a Fundamentals of Reinforcement Learning por parte de Universidad de Alberta

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1,346 calificaciones
343 revisiones

Acerca del Curso

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....

Principales revisiones

AT

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.

NH

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!

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301 - 325 de 341 revisiones para Fundamentals of Reinforcement Learning

por Alper A

Mar 29, 2020

Course is fine, but there could be more coding practices then the theoretical part. There are two coding assignments which are hard to do only with the course. The course context could be extended to include more coding practices.

por Ayse E G

Sep 28, 2019

The course is a very good introduction to RL but the concepts are handled a little too abstractly. However this provides an excellent fundamental for the rest of the courses. I would have liked more programming exercises.

por Aaron H

Sep 11, 2019

Great material, and awesome coding exercises. Some additional information or context around a few of the problems would have been great, but nonetheless the struggle allowed me to grow in my knowledge!

por Christian J R F

Apr 02, 2020

Great course, I think theory is really well explained and book is great, but including more practice exercises is needed for this course to strengthen the learning of concepts.

por Narendra G

Jun 05, 2020

The course is well developed, reading the reference book is the most important thing that you will do while taking this course. The delivery of both instructors seems robotic.

por David S

Sep 27, 2019

It will be good to include more detailed examples and more practice exercices in week 2 and 3. Also to repair the week 4 submission.

Although, It is a good course.

por Kashish T

Mar 28, 2020

Good understanding of the fundamentals and aptly paced. The programming assignments were very good if there were more like that the course could get better

por Romesh M P

May 21, 2020

I really enjoyed the course, especially the guest segments (I got to know important people from that). Presenters did a good job but can be more relaxed.

por Mahmmoud M

Sep 29, 2019

However, Missing the lectures of slide, the supported book is very good. The lectures are very simple and one can finish fast.

Thanks for teaching team.

por Ramakrishnan.K

Jun 21, 2020

The fundamentals of Bandits and MDPs are well covered. A major plus is the way we are made to read the text book before attending the lectures.

por Matthew C

Aug 24, 2019

Auto-grading of programming exercises did not work that well, but other than that, it was very instructive and well presented.

por parham

Jul 06, 2020

there is so many great fundamental stuff here, with deep theoric background, but it lacks some practical approach

por Christopher B C

Sep 08, 2019

I thought the lectures were informative, but the pacing could have been a bit faster to get through more content.

por Rafael V M

Jul 15, 2020

Excellent course, with several practical examples of the theory being explained. I found week 3 a little dense.

por Balsher S

Jul 10, 2020

Week 3 should be improved a bit. It is a bit confusing to understand. Btw Great course. Keep the good work up.

por Sharmili S

Apr 15, 2020

Quizzes and assignments are a bit challenging. It might be easier if questions are better elucidated.

por Daxkumar J

Feb 03, 2020

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

por Anirudh B

May 13, 2020

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

por Zia M U D

May 04, 2020

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

por Mohamed H

Feb 14, 2020

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

por Maxim V

Jan 07, 2020

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

por Sri R R

Apr 17, 2020

The course was cool but needed some more programming assignments.

por Francisco R

Jun 15, 2020

Excellent in terms of learning the foundations of RL.

por Jeroen v H

Oct 17, 2019

Quite theoretical. But a good base of the concepts.

por Husam D

Nov 04, 2019

I wished there were more coding assignments