Name: Fundamentals of Reinforcement Learning
Brand: University of Alberta
Availability: OnlineOnly
Rating: 4.8 (678 reviews)

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

4.8

stars

2,839 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 t... ...

Top reviews

Apr 11, 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.

Sep 1, 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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By Hung N

•

Oct 9, 2023

The videos are most likely talk about the content in the book without any extra value in explanation. For me, it took a lot of effort to read the book, refers other resources to understand the content.