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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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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 reseñas

AT

6 de jul. de 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 de abr. de 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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226 - 250 de 564 revisiones para Fundamentals of Reinforcement Learning

por RANASINGHE A T S

27 de jun. de 2021

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

por Michel D

13 de dic. de 2020

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

por S. K G P

1 de may. de 2020

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

por shivansh n

21 de sep. de 2020

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

por MIN H H _

4 de sep. de 2020

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

por Lik M C

2 de ene. de 2020

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

por Christos P

11 de dic. de 2019

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

por SARVESH P

2 de may. de 2021

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

por Bhavya G G

14 de abr. de 2021

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

por Roberto M

26 de mar. de 2020

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

por Prachi S

2 de feb. de 2021

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

por Edwin N P P

15 de may. de 2021

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

por Thomas N

28 de ago. de 2020

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

por Sergio Z P

9 de abr. de 2020

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

por Zhongzhu Z

20 de ago. de 2021

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

por Weei D

19 de oct. de 2020

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

por Bartłomiej B

18 de abr. de 2020

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

por Wang G

9 de oct. de 2019

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

por John H

17 de sep. de 2019

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

por Eyal I

14 de ene. de 2021

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

por Rohan S

7 de ago. de 2020

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

por Ivan O C

27 de jun. de 2021

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

por Jerry H

18 de nov. de 2020

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

por Maurice M

30 de jun. de 2021

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

por Mahmoud M A M

5 de may. de 2021

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