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学生对 University of Alberta 提供的 Fundamentals of Reinforcement Learning 的评价和反馈

4.8
2,886 个评分

课程概述

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....

热门审阅

MN

Apr 11, 2024

The concepts may sound confusing in the beginning, but as you go forward you find it interesting and understanding. I suggest you completely read the reading assignments before watching the videos.

KS

Sep 1, 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.

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226 - Fundamentals of Reinforcement Learning 的 250 个评论(共 688 个)

创建者 Cesar A G

Jul 12, 2020

Well structured and thought examples that expand the information on the textbook. The programming assignments are very well built.

创建者 Suresh

Sep 21, 2020

Awesome introduction to Reinforcement Learning. The explanations are very precise and the complex concepts were easy to follow

创建者 DEVANSHU S

Sep 8, 2020

Beautifully explains concepts in an intuitive fashion, although the addition of proofs of convergence would have been great :)

创建者 Rodrigo P S

Nov 16, 2022

It was quite challenging for me, but the videos help a lot. I found some interesting bugs, but I got more Python experience.

创建者 Nikhil G

Nov 25, 2019

Excellent course companion to the textbook, clarifies many of the vague topics and gives good tests to ensure understanding

创建者 Arvin N

May 9, 2020

This course was great, but I think it is not complete. I have to pass the other courses in this specialization for sure.

创建者 Allyson D d L

Apr 22, 2022

The course is very good! Basic but because it's only the beginning of the specialization. I am exciting to complete it.

创建者 Evrim A

Nov 16, 2020

The course content is superb. As a suggestion, some coding and problem-solving content (as videos) would be outstanding

创建者 Dylan R

Feb 22, 2020

Great course, reading the textbook was difficult at times, but the professors really helped me in understanding it all!

创建者 Mohamed R M F

Jun 23, 2021

it's my first time learn what is reinforcement learning and this course really helped me to get the fundamentals of it

创建者 Chamakoora S R

Jul 14, 2020

Not only this course was conceptually sound, it had inspirational sessions with researches who made big breakthroughs.

创建者 AhmadrezaSheibanirad

Oct 26, 2019

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

创建者 Andis R

Feb 15, 2020

Thank you very much for putting effort in this one !!! I was looking for such a course for some time already, thanks.

创建者 Daniel R G

May 22, 2020

Genial curso, los temas dados son demasiado interesantes, a veces un poco dificiles de entender pero nada imposible.

创建者 Bigyan K

Mar 3, 2020

Very well organized, and easy to follow with the RL book! Highly recommend this course in conjunction with the book.

创建者 Remo H

Jan 31, 2021

Good explanations and very nice exercises. If I could wish something it would be to have more programming examples.

创建者 Sandro H

Aug 16, 2023

It covered well the subject and helped me to understand better what is and how we practice reinforcement learning.

创建者 Dinh-Son V

Jul 17, 2020

The presenters are amazing. Their voice are clear and charming and make you want to continue your journey into RL.

创建者 Korosh T

May 22, 2021

Fantastic course. I learned a lot. The teachers are really great and the programming assignments are very useful.

创建者 Mathew

Jun 7, 2020

Very well structured and a great compliment to the Reinforcement Learning (2nd Edition) book by Sutton and Barto.

创建者 Erik S

Jan 16, 2022

Instructors have put a lot off effort into this course and I like the style of reading and high qualitiy videos!

创建者 Abram G

Jan 12, 2022

Very good introduction to RL. every week is explained well and like stairs every week completes the week before

创建者 Mengyong L

Aug 1, 2020

Pretty complex but really useful! I had to go through each video twice to get a good understanding of the topic

创建者 Prudhvinath R

Dec 3, 2019

Everything is explained in detail. The theory behind each logistic is clearly explained by both the Professors.

创建者 Ofir E

Mar 20, 2020

An amazing course! It really has a high level and follows a coursebook just as a good university course would.