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學生對 阿尔伯塔大学 提供的 Fundamentals of Reinforcement Learning 的評價和反饋

4.8
1,316 個評分
338 條評論

課程概述

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....

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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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176 - Fundamentals of Reinforcement Learning 的 200 個評論(共 336 個)

創建者 Chad R

Dec 16, 2019

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

創建者 Jorge S M L

Jul 30, 2020

A very complete course, which covers the mathematical background well

創建者 swakshar D

Apr 15, 2020

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

創建者 KYUNGHANKYEOL

Nov 05, 2019

Nice programming assignments. They make me understand really better.

創建者 Pranjalya T

Jun 15, 2020

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

創建者 DEEP P

Jul 08, 2020

Great learning Experience and really helpful lecturers and staff.

創建者 Alexander P

Sep 29, 2019

Nice introduction into RL with good practical examples in Python.

創建者 Pawel P

Aug 07, 2019

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

創建者 Jhonny I C O

Dec 10, 2019

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

創建者 Volodymyr F

Mar 26, 2020

A perfect introductory course into Reinforcement Learning topic

創建者 Yong C

Nov 01, 2019

It's good to learn about reinforcement learning in fundamental

創建者 Tanay G

Jul 19, 2020

Really liked the way material was presented and learned a lot

創建者 Anubhav T

May 09, 2020

Excellent course to get introduced to Reinforcement Learning

創建者 Hao J ( L

May 04, 2020

Awesome! Clear instruction with interesting coding example!

創建者 Joost G

Mar 26, 2020

Interesting lectures and good quizzes+programming exercises.

創建者 Marius L

Sep 05, 2019

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

創建者 Mr. D S J D P

Jun 05, 2020

I struggled in programming part , but a very efficient tool

創建者 Ruosen L

Apr 03, 2020

Spent tooooooo much time on reading materials than imagine.

創建者 Turgay P

Jul 27, 2020

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

創建者 alex x

May 21, 2020

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

創建者 Bill F

Jul 11, 2020

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

創建者 Chanon K

Jun 28, 2020

A great course that really focusing on fundamentals of RL

創建者 Adarsh

May 16, 2020

very good course .

very well explained by Adam and Martha

創建者 Pradyumna M

Apr 03, 2020

Amazing course with optimum blend of theory and practice.

創建者 Oleksandr M

Oct 06, 2019

Great course! Good explanations, interesting assignments.