Chevron Left
返回到 Fundamentals of Reinforcement Learning

学生对 阿尔伯塔大学 提供的 Fundamentals of Reinforcement Learning 的评价和反馈

2,355 个评分
559 条评论


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....



Jul 6, 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.


Apr 7, 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!


301 - Fundamentals of Reinforcement Learning 的 325 个评论(共 564 个)

创建者 Pawel P

Aug 7, 2019

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

创建者 Anfernee

Aug 21, 2020

A great introduction to RL for people who have little background

创建者 Jhonny I C O

Dec 9, 2019

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

创建者 Markus S

Nov 10, 2020

Great course, but the online programming tool used really sucks

创建者 Cristian T

Oct 26, 2020

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

创建者 Volodymyr F

Mar 26, 2020

A perfect introductory course into Reinforcement Learning topic

创建者 Ba L

Jul 26, 2021

The best introduction into the world of Reinforcement Learning

创建者 khuongnd6

Jul 18, 2021

It is a great course to start learning reinforcement learning!

创建者 Yong C

Oct 31, 2019

It's good to learn about reinforcement learning in fundamental

创建者 Francois L

Nov 18, 2020

Excellent, it makes the book so much more easy to understand!

创建者 Francesco M

Aug 4, 2020

Extremely good: a stellar course for beginners in this field!

创建者 Tanay G

Jul 19, 2020

Really liked the way material was presented and learned a lot

创建者 Michel H

Jun 13, 2022

Awesome Course. Follows the great Sutton Book . Recommended!

创建者 Kunal S

Oct 10, 2021

Great course. The quizzes and assignments were also perfect.

创建者 Anubhav T

May 9, 2020

Excellent course to get introduced to Reinforcement Learning

创建者 Hao J ( L

May 4, 2020

Awesome! Clear instruction with interesting coding example!

创建者 Joost G

Mar 26, 2020

Interesting lectures and good quizzes+programming exercises.

创建者 Marius L

Sep 5, 2019

Engaging, challenging, and the math was just doable. Thanks.

创建者 Mr. D S J D P

Jun 5, 2020

I struggled in programming part , but a very efficient tool

创建者 Ruosen L

Apr 2, 2020

Spent tooooooo much time on reading materials than imagine.

创建者 Turgay P

Jul 27, 2020

Great videos and an e-book to learn the fundamentals of RL

创建者 alex x

May 21, 2020

Very good course, hope there will be more course like this


Feb 16, 2022

Fantastic course. Reinforcement AI model are fascinating

创建者 Qasid S

Sep 27, 2020

A well-organized introduction for Reinforcement Learning.

创建者 Jicheng F

Jul 11, 2020

This is the best online course I've taken ever. Good job!