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Avis et commentaires pour d'étudiants pour Fundamentals of Reinforcement Learning par Université de l'Alberta

2,499 évaluations

À propos du cours

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....

Meilleurs avis


6 juil. 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.


7 avr. 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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451 - 475 sur 600 Avis pour Fundamentals of Reinforcement Learning

par Amey M M

1 févr. 2020

Very Good Course

par Md. O H

13 août 2019

Excellent course

par Venkatkumar R

13 janv. 2022

I enjoy the RL

par John P

21 avr. 2021

Great course.

par Artur M

28 juil. 2020

Great course!

par Anna K

19 juin 2020

Great course!

par Prajwal T

29 mars 2020

very engaging


11 janv. 2020

It's awesome!

par Atamert A

16 nov. 2019

Great course!

par dariojavo

9 nov. 2019

Great course!

par Nikhil G

30 oct. 2019

Great course!

par Sachin U

14 sept. 2019

Great course.

par Nico

26 mars 2022

great course

par obadan s

8 juil. 2020


par Cheuk L Y

30 juin 2020

Great intro!

par Fintan K

27 juin 2020

Great course

par Liuhui D

11 oct. 2019

Nice lecture

par Ruiwen W

11 oct. 2020

Very clear!

par Noah

21 avr. 2020

good course


7 oct. 2022


par Oriol A L

4 nov. 2020

Very good!

par Oren Z B M

22 mars 2020

Thank you.

par Nithiroj T

27 déc. 2021

Very good


16 mai 2021

Very nice

par Justin O

24 mars 2021