Learner Reviews & Feedback for Sample-based Learning Methods by University of Alberta
About the Course
Top reviews
DP
Feb 14, 2021
Excellent course that naturally extends the first specialization course. The application examples in programming are very good and I loved how RL gets closer and closer to how a living being thinks.
AS
Aug 11, 2020
Great course, giving it 5 stars though it deserves both because the assignments have some serious issues that shouldn't actually be a matter. All the other parts are amazing though. Good job
76 - 100 of 238 Reviews for Sample-based Learning Methods
By Lik M C
•Jan 10, 2020
Again, the course is excellent. The assignments are even better than Course 1. A really great course worth to take!
By Zhang d
•Apr 7, 2020
It is a wonderful and meanningful course, which can teach us the knowledge of Q-learning, expected Sarsa and so on.
By Xingbei W
•Mar 8, 2020
Although I have learned q learning and td, this course still give me a lot of new feeling and understanding on it.
By Mathew
•Jun 7, 2020
Very well structured and a great compliment to the Reinforcement Learning (2nd Edition) book by Sutton and Barto.
By George M
•Feb 24, 2021
Very well defined course.
Exercises are fairly challenging and provide useful intuition into common problems.
By Alaaeldin Z
•Dec 10, 2020
The course is amazing. The lectures are well organized. Quizes and assignments are very useful for learning.
By maryam t
•Nov 16, 2021
A very good course for understanding basic concepts of RL. It is not enough for doing projects with coding.
By Stewart A
•Sep 3, 2019
Great course! Lots of hands-on RL algorithms. I'm looking forward to the next course in the specialization.
By Casey S S
•Feb 11, 2021
I thought this was an excellent sequel, introducing the reader to the fundamental innovations of RL.
By Martin P
•May 30, 2020
A very interesting topic presented in an easy to consume form. It was fun learning with this course.
By 김한준
•Apr 7, 2020
The course is spectacular! I've learned countless material on Reinforcement learning! Thank you!
By Roberto M
•Mar 28, 2020
The course is well organized and teachers provide a lot of examples to facilitate comprehension.
By Chintan K
•Jul 22, 2020
the course videos were short and precise , which makes the learning content fun and informative
By Wang G
•Oct 19, 2019
Very Nice Explanation and Assignment! Look forward the next 2 courses in this specialization!
By Sodagreenmario
•Sep 18, 2019
Great course, but there are still some little bugs that can be fixed in notebook assignments.
By Floris v R
•Jan 4, 2022
Very clear explanations in the videos, good tests & asignments. Complex stuff well explained
By Chris D
•Apr 18, 2020
Very good. Minor issues with inconsistency between parameter naming in different exercises.
By Alden C
•Nov 2, 2022
Compressing this much complication into such a tight package is a tremendous achievement.
By Sirusala N S
•Jul 30, 2020
The concepts were explained very clearly. The assignments were helpful in understanding.
By 高橋耕司
•Oct 6, 2019
I made a lot of mistakes, but I learned a lot because of that.
It ’s a wonderful course.
By Sérgio V C
•Mar 15, 2021
A good course to learn the basics of Monte Carlo methods for RL, as well as TD-methods!
By Jau-Jie Y
•Jul 7, 2021
I am happy of the history talking of Barto and Sutton.
The others teachers were good.
By Louis S
•Jun 5, 2020
Excellent content. The fact that it follows Sutton and Barto's TextBook is a must.
By Pruthvi J
•Feb 7, 2021
Excellent course, gives a decent theoretical and practical introduction to RL.
By Corey A
•Apr 19, 2022
Awesome course. Fun examples and exercises and great compliment to the book.