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

2,037 calificaciones
511 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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326 - 350 de 509 revisiones para Fundamentals of Reinforcement Learning

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 Charles X

19 de jun. de 2021

Very good one to get familiar with Q-learning.

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 Vahid G

27 de jun. de 2021

Fantastic Course! Thanks Martha and Adam!

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 :)

por Samuel R

17 de ago. de 2020

Requires medium/high programming skills

por Manikant R

26 de jul. de 2020

Great course, instructors are too good!

por 汤皓玥

26 de may. de 2020

Very Nice and Fundamental course in MDP

por Carlos E A C

8 de nov. de 2019

an excellent introductory course to RL

por Po-Ya H

15 de jun. de 2020

Great course to learn RL fundamentals

por Javier R

23 de abr. de 2020

Very good introduction to this field!