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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
408 個評分
115 個審閱

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....

熱門審閱

PV

Nov 10, 2019

I understood all the necessary concepts of RL. I've been working on RL for some time now, but thanks to this course, now I have more basic knowledge about RL and can't wait to watch other courses

AB

Sep 07, 2019

Concepts are bit hard, but it is nice if you undersand it well, espically the bellman and dynamic programming.\n\nSometimes, visualizing the problem is hard, so need to thoroghly get prepared.

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26 - Fundamentals of Reinforcement Learning 的 50 個評論(共 113 個)

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 Alejandro D

Aug 11, 2019

Excellent! Great content and delivery quality.

創建者 Saikat M

Aug 08, 2019

Good course following the classic book but it is kept at an easy pace for diverse people to be able to understand and apply the concepts of reinforcement learning.

創建者 Garrett S

Aug 10, 2019

Explained in a very simple way, with helpful assignments.

創建者 Md O H

Aug 13, 2019

Excellent course

創建者 Shaji, N

Aug 13, 2019

It is the perfect course.

創建者 Kyle N

Aug 15, 2019

great course!! thanks Adam, Martha and team!!

創建者 Mert İ

Aug 19, 2019

The concepts are explained in a very simple manner. Reading book then watching videos helps a lot to understand the essential ideas.

創建者 Ignacio O

Aug 23, 2019

Excellent beginners course of a very interesting topic!

創建者 Justin S

Aug 23, 2019

Excellent Course! The level of difficulty is perfect. It is difficult but not impossible if you do the readings in the textbook and understand the lectures. I strongly suggest reading the book before watching the lectures. This helped my understanding significantly. The material and assignments are very interesting and informative.

Highly recommend this course to anyone interested in RL.

創建者 Daniel D V

Aug 24, 2019

Very well explained, with amazing examples. Thanks!

創建者 Sriram R

Aug 24, 2019

Well organized course. Good pedagogy. Well done!

創建者 Peter L

Aug 24, 2019

This is a nice course. I think for people with no background in RL the pace might be a little fast. A few more examples could help them understanding the concepts more easily.

創建者 Andrew D G

Aug 24, 2019

A really excellent course!

創建者 Trevor M

Aug 28, 2019

Excellent material paired with excellent instruction.

創建者 Saraj s

Aug 29, 2019

This is the best RL course I have ever attended. Even before starting this course I had brought the textbook (the one which course instructors also recommend) and was through the first 4 chapters. I understood most of the material but when I attended the class, everything was crystal clear. I hope instructors follow up and create the remaining courses as well. Please increase prgramming assignments in number as well. Thumbs up. Thanks for this course, very grateful.

創建者 Иванов К С

Aug 29, 2019

It's difficult to estimate this course because it's based on the book. I mean, 90% of materials i've seen on videos were on the book. That's very unusual, but effective. However, i've learned necessary information and python tasks were useful and interesting. I'll take the next course and will see.

創建者 Ivan S F

Aug 31, 2019

Very practical and learning-oriented. Providing the textbook in PDF is a big plus. I think there should be more programming exercises. Great course anyway. Worth taking it.

創建者 Stewart A

Aug 31, 2019

Great course from the home of RL

創建者 Shengjian C

Sep 01, 2019

This is a very helpful courses to help me walk through the Reinforcement Learning book with different kind of practices. Looking forward to taking course2!

創建者 Kaustubh S

Sep 02, 2019

All the concepts were well explained and this course was perhaps the best I have found for RL.

Great efforts have been put into making the course and It goes well in line with the suggested textbook.

創建者 Abubakr B

Sep 03, 2019

Very engaging and informative

創建者 Damian K

Sep 01, 2019

Slow means smooth. Smooth means fast. This course introduces you efficiently into the world of RL. And this is what you want. Everything is perfectly to the point. All exercise are here to boost your understanding. Highly recommended.

創建者 Christian S

Sep 02, 2019

great course; well explained and exercises reinforce the learnt material. also, great that this course uses Sutton's and Barto's book on reinforcement learning.

創建者 Marius L

Sep 05, 2019

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