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Learner Reviews & Feedback for Fundamentals of Reinforcement Learning by University of Alberta

4.8
stars
2,814 ratings

About the Course

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....

Top reviews

MN

Apr 12, 2024

The concepts may sound confusing in the beginning, but as you go forward you find it interesting and understanding. I suggest you completely read the reading assignments before watching the videos.

KS

Sep 2, 2019

All the concepts were well explained and this course was perhaps the best I have found for RL.Great efforts have been put into making the course and It goes well in line with the suggested textbook.

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426 - 450 of 675 Reviews for Fundamentals of Reinforcement Learning

By Ram A

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May 1, 2022

Especially loved the hands on assignments!

By Carl

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Dec 3, 2020

Solid course for laying foundations for RL

By asphinjohn

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Oct 13, 2020

Had a clear idea of Reinforcement learning

By Holakou R

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Dec 11, 2019

Fairly comprehensive. Easy/fast to follow.

By Pachi C

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Nov 3, 2019

Fantastic course in the fundamentals of RL

By Gösta F

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Sep 21, 2021

Nice balance between reading and lectures

By Vahid G

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Jun 28, 2021

Fantastic Course! Thanks Martha and Adam!

By Lei Z

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Oct 21, 2020

Get a lot useful knowledge, thanks a lot!

By Abhijeet A

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Nov 9, 2019

Really good course, and not for beginner.

By Sandeep M

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Dec 6, 2024

Excellent content, teachers, motivation.

By MD M R S

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Jan 1, 2021

Makes Sutton and Bartos book great again

By Hennie d H

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Sep 10, 2019

Really nice and clear course, love it :)

By Samuel R

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Aug 17, 2020

Requires medium/high programming skills

By Manikant R

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Jul 26, 2020

Great course, instructors are too good!

By 汤皓玥

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May 27, 2020

Very Nice and Fundamental course in MDP

By Huajie C

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Feb 20, 2023

A detailed course on the fundamentals.

By Carlos E A C

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Nov 8, 2019

an excellent introductory course to RL

By Po-Ya H

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Jun 15, 2020

Great course to learn RL fundamentals

By Javier R

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Apr 23, 2020

Very good introduction to this field!

By Areej M Z

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Apr 12, 2020

Very useful and well explained course

By Alain C

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Jul 10, 2023

Excellent course and reference book.

By Josep M P

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Oct 2, 2020

Very usefull and interesting course!

By rory1000

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Nov 13, 2022

Very interesting and well explained

By shailesh k

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Apr 5, 2020

Very well explained, learned a lot.

By Sohail R

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Oct 8, 2019

A wonderful introduction, very fun!