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Voltar para Fundamentals of Reinforcement Learning

Comentários e feedback de alunos de Fundamentals of Reinforcement Learning da instituição Universidade de AlbertaUniversidade de Alberta

1,064 classificações
272 avaliações

Sobre o 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....

Melhores avaliações


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!


Nov 10, 2019

I understood all the necessary concepts of RL. I've been working on RL for some time now, but thanks to this course, now I have more basic knowledge about RL and can't wait to watch other courses

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176 — 200 de {totalReviews} Avaliações para o Fundamentals of Reinforcement Learning

por Jingxin X

May 17, 2020

Very helpful hands-on experience with the notebooks

por Yue Z

Feb 09, 2020

Everything is good except the peer review question.

por Daniel D V

Aug 24, 2019

Very well explained, with amazing examples. Thanks!

por Mark P

May 19, 2020

Excellent intro. Well paced, clear videos. Thanks!

por Maria D

May 23, 2020

Challenging but helpful, awesome practical tasks!

por Ankith M

Sep 07, 2019

Builds a good foundation of basic concepts of RL.

por Sriram R

Aug 24, 2019

Well organized course. Good pedagogy. Well done!

por Debadri B

May 29, 2020

Very good course for understanding basics of RL

por Sandro M A T

Mar 23, 2020

Great introduction to Reinforcement Learning!!

por Kyle W

Feb 16, 2020

I enjoy the programming assignments very much.

por Alejandro D

Aug 11, 2019

Excellent! Great content and delivery quality.

por Kyle N

Aug 15, 2019

great course!! thanks Adam, Martha and team!!

por Alexis O

Apr 25, 2020

Quality course to learn the fundamentals...!

por Raul D M

Nov 13, 2019

One of the best courses I've had on Coursera

por Holakou R

Dec 11, 2019

Fairly comprehensive. Easy/fast to follow.

por Pachi C

Nov 03, 2019

Fantastic course in the fundamentals of RL

por Abhijeet A

Nov 09, 2019

Really good course, and not for beginner.

por Hennie d H

Sep 10, 2019

Really nice and clear course, love it :)

por 汤皓玥

May 27, 2020

Very Nice and Fundamental course in MDP

por Carlos E A C

Nov 08, 2019

an excellent introductory course to RL

por Javi

Apr 23, 2020

Very good introduction to this field!

por Areej M Z

Apr 12, 2020

Very useful and well explained course

por shailesh k

Apr 05, 2020

Very well explained, learned a lot.

por Sohail

Oct 07, 2019

A wonderful introduction, very fun!

por Stewart A

Aug 31, 2019

Great course from the home of RL