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

2,092 calificaciones
521 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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401 - 425 de 520 revisiones para Fundamentals of Reinforcement Learning

por John P

21 de abr. de 2021

Great course.

por Artur M

28 de jul. de 2020

Great course!

por Anna K

19 de jun. de 2020

Great course!

por Prajwal T

29 de mar. de 2020

very engaging


11 de ene. de 2020

It's awesome!

por Atamert A

16 de nov. de 2019

Great course!

por Dario J G P

9 de nov. de 2019

Great course!

por Nikhil G

30 de oct. de 2019

Great course!

por Sachin U

14 de sep. de 2019

Great course.

por obadan s

8 de jul. de 2020


por Cheuk L Y

30 de jun. de 2020

Great intro!

por Fintan K

27 de jun. de 2020

Great course

por Liuhui D

11 de oct. de 2019

Nice lecture

por Ruiwen W

11 de oct. de 2020

Very clear!

por Noah

21 de abr. de 2020

good course

por Oriol A L

4 de nov. de 2020

Very good!

por Oren

22 de mar. de 2020

Thank you.


16 de may. de 2021

Very nice

por Justin O

24 de mar. de 2021


por Alexander K

6 de nov. de 2019

loved it

por Puyuan L

24 de ene. de 2020

not bad

por 최홍석

18 de abr. de 2020


por Tobias S

8 de sep. de 2019


por JingZeng X

25 de sep. de 2020


por Yetao W

23 de abr. de 2020