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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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301 - 325 sur 600 Avis pour Fundamentals of Reinforcement Learning

par Art H

8 avr. 2020

Very good instructors. Relevant assignments. Follows the book closely.

par John J

5 avr. 2020

This is the best fundamental course available on reinforcement learning.

par Jay U

19 janv. 2020

Very well designed course on the fundamentals of reinforcement learning.

par Enrique A

21 déc. 2019

Awesome. Concepts are easy-to-digest and the explanations are masterful!

par Linggih S

8 déc. 2019

challenging and fun. I understand better from the programming assignment

par Rui W

6 oct. 2020

great material and explanation. no brainer to take the rest all courses

par BC

14 mai 2020

Excellent course, highly recommended to gain a solid foundation in RL.

par Mathis V E

13 janv. 2020

Good course, very clear introduction to relatively difficult concepts.

par Chad R

16 déc. 2019

great course. follows a good RL textbook that covers the fundamentals

par Wei J

16 sept. 2020

It is very useful and interesting for me to learn RL basic knowledge.

par Jorge S M L

29 juil. 2020

A very complete course, which covers the mathematical background well

par Dariel P R

1 août 2021

Fast and practical going through reiforcement learning. Excellent!!

par swakshar D

15 avr. 2020

this course is awesome. especially the quizzes they gave, are great.

par Hankyeol K

5 nov. 2019

Nice programming assignments. They make me understand really better.

par Pranjalya T

15 juin 2020

Wonderfully explained. Love the read first and then watch approach.

par Farzad E b

17 juil. 2022

I honestly think it was one of the best course I've ever enrolled.

par DEEP P

8 juil. 2020

Great learning Experience and really helpful lecturers and staff.

par Alexander P

29 sept. 2019

Nice introduction into RL with good practical examples in Python.

par Pawel P

7 août 2019

I've enjoyed it. It pushes me to do stuff and not to cut corners.

par Anfernee

21 août 2020

A great introduction to RL for people who have little background

par Jhonny I C O

9 déc. 2019

Last week of this course was nice, great programming assignment.

par Markus S

10 nov. 2020

Great course, but the online programming tool used really sucks

par Cristian T

26 oct. 2020

Great content, nicely presented! The included book also helps.

par Volodymyr F

26 mars 2020

A perfect introductory course into Reinforcement Learning topic

par Ba L

26 juil. 2021

The best introduction into the world of Reinforcement Learning