Chevron Left
返回到 Fundamentals of Reinforcement Learning

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

4.8
384 個評分
109 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.

篩選依據:

51 - Fundamentals of Reinforcement Learning 的 75 個評論(共 110 個)

創建者 AhmadrezaSheibanirad

Oct 27, 2019

This course is one of the great online course in Coursera which help people dig into reinforcement learning correctly.

創建者 Sohail

Oct 07, 2019

A wonderful introduction, very fun!

創建者 LUIS M G M

Oct 25, 2019

I started to read Sutton & Barto book this summer, and although I find it fantastic, some concepts were not 100% clear to me. This course has changed it dramatically. Now every concept is clear to me. This book is like reading a book with the support of very good explanations.

Let's go for the 2nd course in the specialitation!!!

創建者 Isuru S A

Oct 07, 2019

Superb explanation & also give the deep knowledge in math behind the theories.

創建者 Shahriyar R

Sep 22, 2019

Extremely useful course. Especially the format is very effective. First read the book, then listen the extra explanations and write Python code. Concepts are really clear for me now. Thanks for such amazing work.

創建者 Shangyu Y

Sep 20, 2019

Really impressive! These courses are pretty good and were illustrated in detail

創建者 Harshit S

Sep 20, 2019

One of the best courses I finished on Coursera, I really like the structure of the course. Textbook is also provided which really helps. Looking forward to next course in the series.

創建者 John H

Sep 18, 2019

Very good, I suggest reading the text closely and doing exercises to get the most benefit.

創建者 Aditya J

Sep 16, 2019

Impressed by the knowledge of professors in the video and inspite of that they took so much interest in teaching minor concepts to students which are trivial to them.

創建者 Mateo

Sep 17, 2019

I found the course really helpful. I have been learning RL for some time and it was hear that almost finally i can say that a lot of the concepts that were vague in my head became clearer. Also it made me look at the book of Sutton and Barto and found that it was a good experience. Maybe more examples and questions in between videos as in deeplearning.ai of Andrew NG could be good for keeping with the attention could be nice. Also maybe doing more programming exercises in between the ones we did in order to implement each step would be great. Thank you very much!!!!

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 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 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 Trevor M

Aug 28, 2019

Excellent material paired with excellent instruction.

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 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 Abubakr B

Sep 03, 2019

Very engaging and informative

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 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 Seyyed M

Sep 28, 2019

To have the best performance in the course, read the related textbook sections at the beginning of each week.

創建者 Ankith M

Sep 07, 2019

Builds a good foundation of basic concepts of RL.

創建者 Akash B

Sep 07, 2019

Concepts are bit hard, but it is nice if you undersand it well, espically the bellman and dynamic programming.

Sometimes, visualizing the problem is hard, so need to thoroghly get prepared.

創建者 Marius L

Sep 05, 2019

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

創建者 Alexander P

Sep 29, 2019

Nice introduction into RL with good practical examples in Python.