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Opiniones y comentarios de aprendices correspondientes a Fundamentals of Reinforcement Learning por parte de Universidad de Alberta

1,960 calificaciones
487 reseña

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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....

Principales reseñas

6 de jul. de 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 de abr. de 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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301 - 325 de 483 revisiones para Fundamentals of Reinforcement Learning

por Mario A C S

16 de oct. de 2020

Excellent course, great materials and explanations

por Mark P

19 de may. de 2020

Excellent intro. Well paced, clear videos. Thanks!

por Pratyush M

15 de jun. de 2020

some more practical implementation can be better.

por Maria D

23 de may. de 2020

Challenging but helpful, awesome practical tasks!

por Deleted A

6 de sep. de 2019

Builds a good foundation of basic concepts of RL.

por Marco G

7 de ene. de 2021

clearly explained, nice textbook, good exercises

por Sriram R

24 de ago. de 2019

Well organized course. Good pedagogy. Well done!

por Shamuwel A A

24 de nov. de 2020

Fantastic beginning to a a very exciting topic.

por Đàm T T

24 de ago. de 2020

perfect for who want to getting started with RL

por Debadri B

29 de may. de 2020

Very good course for understanding basics of RL

por Eduardo F d S

26 de jul. de 2020

Good material and very well organized. Thanks!

por Sandro M A T

23 de mar. de 2020

Great introduction to Reinforcement Learning!!

por Kyle W

16 de feb. de 2020

I enjoy the programming assignments very much.

por Alejandro D

11 de ago. de 2019

Excellent! Great content and delivery quality.

por Kyle N

15 de ago. de 2019

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

por Alexis O

24 de abr. de 2020

Quality course to learn the fundamentals...!

por Raul D M

13 de nov. de 2019

One of the best courses I've had on Coursera

por Carl

3 de dic. de 2020

Solid course for laying foundations for RL

por asphinjohn

13 de oct. de 2020

Had a clear idea of Reinforcement learning

por Holakou R

11 de dic. de 2019

Fairly comprehensive. Easy/fast to follow.

por Pachi C

3 de nov. de 2019

Fantastic course in the fundamentals of RL

por Lei Z

21 de oct. de 2020

Get a lot useful knowledge, thanks a lot!

por Abhijeet A

8 de nov. de 2019

Really good course, and not for beginner.

por MD M R S

1 de ene. de 2021

Makes Sutton and Bartos book great again

por Hennie d H

10 de sep. de 2019

Really nice and clear course, love it :)