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

4.8
étoiles
2,221 évaluations
541 avis

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!

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201 - 225 sur 543 Avis pour Fundamentals of Reinforcement Learning

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

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.

par Louis H

23 févr. 2021

I really appreciated the contents as well as the pedagogical efforts, this is outstanding teaching !

par RANASINGHE A T S

27 juin 2021

G​reat course. You can get the mathematical background of reinforcemet learning through this course

par Michel D

13 déc. 2020

Great class with short focussed videos that highlight key concepts, perfect complement to the book!

par S. K G P

1 mai 2020

It is a perfect, engaging and very information course. I thoroughly enjoyed it and learned a lot!!

par shivansh n

21 sept. 2020

Its tougher than the other courses I have taken on ML and DL. Provides a solid foundation for RL

par MIN H H _

4 sept. 2020

Very informative and challenging for beginners who are starting to learn Reinforcement Learning.

par Lik M C

2 janv. 2020

It is a great course! The concepts are elaborated very clear. The materials are well prepared.

par Christos P

11 déc. 2019

Great reading material and videos. The assignments really help to better understand the theory.

par SARVESH P

2 mai 2021

Excellent way of teaching and good assignments. Had a lot of fun and learnt a lot too! Thanks!