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

4.8
2,383 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

AT

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.

HT

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!

筛选依据:

201 - Fundamentals of Reinforcement Learning 的 225 个评论(共 568 个)

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 27, 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 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.

创建者 seyed h m

Sep 28, 2019

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

创建者 anmar a

Apr 15, 2020

Simple and straight to the point. Great course for understanding the fundamentals of reinforcement learning.

创建者 Justin S

Oct 6, 2019

Great class! Learned a lot with two really fun and enthusiastic professors. Looking forward to the next one.

创建者 Ivan M

Jul 11, 2020

That is awesome! The most interesting area of knowledge & engineering, the top quality education material!

创建者 Selvaraj M

Apr 25, 2020

Very well organized and well thought videos, quiz and best of all coding assignment. Very impressive. A+++

创建者 Nosaybeh A P

Jun 25, 2021

best python course ever!!! I will use RL methods for my feature paper, Thanks Dear Coursera and Dr.White.

创建者 Weihan S

Mar 21, 2021

Really really good course. Well organized for beginners but end with depth and right amount of practices.

创建者 Shahryar R

Feb 21, 2021

Great introduction to reinforcement learning as someone without prior in-depth machine learning exposure.

创建者 Yoshua A N C

Jan 18, 2021

Really well prepared course. Concise, well explained, nice exercises. Looking forward to the next one!

创建者 Tong Z

Oct 3, 2019

Good course in coherence with the book by Sutton and Barto (2018)! Better than reading the book alone.

创建者 LIWANGZHI

Jan 5, 2020

A great introduction to RL. It provides ton of materials and makes everything clear at the same time.