Chevron Left
Retour à Fundamentals of Reinforcement Learning

Avis et commentaires pour d'étudiants pour Fundamentals of Reinforcement Learning par Université de l'Alberta

4.8
étoiles
2,381 évaluations

À propos du cours

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....

Meilleurs avis

AT

6 juil. 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

7 avr. 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!

Filtrer par :

201 - 225 sur 568 Avis pour Fundamentals of Reinforcement Learning

par Chamakoora S R

14 juil. 2020

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

par AhmadrezaSheibanirad

27 oct. 2019

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

par Andis R

15 févr. 2020

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

par Daniel R G

22 mai 2020

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

par Bigyan K

3 mars 2020

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

par Remo H

31 janv. 2021

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

par Dinh-Son V

17 juil. 2020

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

par Korosh T

22 mai 2021

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

par Mathew

7 juin 2020

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

par Erik S

16 janv. 2022

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

par Abram G

12 janv. 2022

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

par Mengyong L

1 août 2020

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

par Prudhvinath R

3 déc. 2019

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

par Ofir E

20 mars 2020

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

par seyed h m

28 sept. 2019

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

par anmar a

15 avr. 2020

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

par Justin S

6 oct. 2019

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

par Ivan M

11 juil. 2020

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

par Selvaraj M

25 avr. 2020

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

par Nosaybeh A P

25 juin 2021

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

par Weihan S

21 mars 2021

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

par Shahryar R

21 févr. 2021

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

par Yoshua A N C

18 janv. 2021

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

par Tong Z

3 oct. 2019

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

par LIWANGZHI

5 janv. 2020

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