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

4.8
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2,358 évaluations
559 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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351 - 375 sur 564 Avis pour Fundamentals of Reinforcement Learning

par Pratyush M

15 juin 2020

some more practical implementation can be better.

par Maria D

23 mai 2020

Challenging but helpful, awesome practical tasks!

par Deleted A

6 sept. 2019

Builds a good foundation of basic concepts of RL.

par Marco G

7 janv. 2021

clearly explained, nice textbook, good exercises

par Sriram R

24 août 2019

Well organized course. Good pedagogy. Well done!

par Dongyu L

20 mai 2021

Very good and clear introduction of the course.

par Shamuwel A A

24 nov. 2020

Fantastic beginning to a a very exciting topic.

par Tuyên Đ

24 août 2020

perfect for who want to getting started with RL

par Debadri B

29 mai 2020

Very good course for understanding basics of RL

par Xiyu Z

13 août 2021

Great! I never learnt it so clearly in school.

par Charles X

19 juin 2021

Very good one to get familiar with Q-learning.

par Eduardo F d S

26 juil. 2020

Good material and very well organized. Thanks!

par Sandro A

23 mars 2020

Great introduction to Reinforcement Learning!!

par Kyle W

16 févr. 2020

I enjoy the programming assignments very much.

par Alejandro D

11 août 2019

Excellent! Great content and delivery quality.

par Kyle A

15 août 2019

great course!! thanks Adam, Martha and team!!

par Alexis O

24 avr. 2020

Quality course to learn the fundamentals...!

par Raul D M

13 nov. 2019

One of the best courses I've had on Coursera

par Ram A

1 mai 2022

Especially loved the hands on assignments!

par Carl

3 déc. 2020

Solid course for laying foundations for RL

par asphinjohn

13 oct. 2020

Had a clear idea of Reinforcement learning

par Holakou R

11 déc. 2019

Fairly comprehensive. Easy/fast to follow.

par Pachi C

3 nov. 2019

Fantastic course in the fundamentals of RL

par Gösta F

21 sept. 2021

Nice balance between reading and lectures

par Vahid G

27 juin 2021

Fantastic Course! Thanks Martha and Adam!