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

2,383 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


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.


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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326 - 350 sur 568 Avis pour Fundamentals of Reinforcement Learning

par Qasid S

27 sept. 2020

A well-organized introduction for Reinforcement Learning.

par Jicheng F

11 juil. 2020

This is the best online course I've taken ever. Good job!

par Chanon K

28 juin 2020

A great course that really focusing on fundamentals of RL

par Adarsh

16 mai 2020

very good course .

very well explained by Adam and Martha

par Pradyumna M

3 avr. 2020

Amazing course with optimum blend of theory and practice.

par Oleksandr M

6 oct. 2019

Great course! Good explanations, interesting assignments.

par Garrett S

10 août 2019

Explained in a very simple way, with helpful assignments.

par Sergio B

22 mai 2020

Outstanding explanations and assignments. Very hands-on.

par Da

30 oct. 2019

Really interesting course based on Sutton and Burto book

par Chang, W C

24 oct. 2019

I like the concept are represented in visualization way.

par Dindar Ö

14 mars 2022

Very easy to follow and well organized course material.

par Mark H

6 févr. 2022

T​he best place to learn reinforcement learning online!

par Marcelo G P d L

25 juin 2021

This is a great introduction to Reinforcement Learning!

par Ignacio O

22 août 2019

Excellent beginners course of a very interesting topic!

par Trevor M

28 août 2019

Excellent material paired with excellent instruction.

par Ricardo P

13 sept. 2021

Excellent introductory material. Very well explained.

par Salomon T

12 juil. 2020

Great course, that gives a thorough foundation on RL!

par Antonio P

11 nov. 2019

Great introductional course on Reinforcement Learning

par Gyanendra D

11 déc. 2020

Very good course if you follow along with the book.

par Chirag M

5 nov. 2020

Great course! A lot of good material and insights!

par Jingxin X

17 mai 2020

Very helpful hands-on experience with the notebooks

par Yue Z

9 févr. 2020

Everything is good except the peer review question.

par Tobias K

24 sept. 2021

G​reat mixture of theory and the intuition behind!

par Jaime C

27 mars 2021

Excellent, good combination of theory and practice

par Mario A C S

16 oct. 2020

Excellent course, great materials and explanations