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

4.8
stars
2,757 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

YW

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Clear instruction and insightful exercises! Enjoy this course! Also, please read the book if you want to understand better about the course materials and rationales behind the exercises.

MN

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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.

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376 - 400 of 662 Reviews for Fundamentals of Reinforcement Learning

By Jicheng F

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Jul 11, 2020

This is the best online course I've taken ever. Good job!

By Chanon K

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Jun 28, 2020

A great course that really focusing on fundamentals of RL

By Adarsh

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May 16, 2020

very good course .

very well explained by Adam and Martha

By Pradyumna M

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Apr 3, 2020

Amazing course with optimum blend of theory and practice.

By Oleksandr M

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Oct 6, 2019

Great course! Good explanations, interesting assignments.

By Garrett S

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Aug 9, 2019

Explained in a very simple way, with helpful assignments.

By Sergio B

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May 22, 2020

Outstanding explanations and assignments. Very hands-on.

By David

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Oct 30, 2019

Really interesting course based on Sutton and Burto book

By WC C

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Oct 24, 2019

I like the concept are represented in visualization way.

By Dindar Ö

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Mar 14, 2022

Very easy to follow and well organized course material.

By Mark H

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Feb 6, 2022

The best place to learn reinforcement learning online!

By Marcelo G P d L

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Jun 25, 2021

This is a great introduction to Reinforcement Learning!

By Ignacio O

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Aug 22, 2019

Excellent beginners course of a very interesting topic!

By Trevor M

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Aug 28, 2019

Excellent material paired with excellent instruction.

By Stefano G

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Mar 14, 2023

Very great course! Also the book suggested is amazing

By Ricardo P

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Sep 13, 2021

Excellent introductory material. Very well explained.

By Salomon T

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Jul 12, 2020

Great course, that gives a thorough foundation on RL!

By Antonio P

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Nov 11, 2019

Great introductional course on Reinforcement Learning

By Gyanendra D

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Dec 11, 2020

Very good course if you follow along with the book.

By Chirag M

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Nov 5, 2020

Great course! A lot of good material and insights!

By Jingxin X

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May 16, 2020

Very helpful hands-on experience with the notebooks

By Yue Z

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Feb 9, 2020

Everything is good except the peer review question.

By Tobias K

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Sep 24, 2021

Great mixture of theory and the intuition behind!

By Jaime C

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Mar 27, 2021

Excellent, good combination of theory and practice

By Mario A C S

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Oct 16, 2020

Excellent course, great materials and explanations