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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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1,218 calificaciones
315 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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201 - 225 de 315 revisiones para Fundamentals of Reinforcement Learning

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 Po-Ya H

Jun 15, 2020

Great course to learn RL fundamentals

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

por Yanhao Z

Mar 20, 2020

This is a perfect introduction!

por Mattheüs d K

Mar 12, 2020

Good course, not for beginners!

por Abubakr B

Sep 03, 2019

Very engaging and informative