学生对 University of Alberta 提供的 Sample-based Learning Methods 的评价和反馈
课程概述
热门审阅
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.
DC
Aug 23, 2020
The material discussed is very clear, and the graded quizzes and programming assignments force you to really understand what you have just heard. I enjoyed this course a lot, and learned even more.
76 - Sample-based Learning Methods 的 100 个评论（共 244 个）
创建者 Hannes
•Sep 10, 2021
Enlightening explanations, well-structured content and challenging assignments. Very engaging course I thoroughly enjoyed!
创建者 Nathaniel W
•Dec 23, 2020
Well done course that covers the different basic aspects of to do reinforcement learning and how models work into it.
创建者 Lik M C
•Jan 9, 2020
Again, the course is excellent. The assignments are even better than Course 1. A really great course worth to take!
创建者 Zhang d
•Apr 6, 2020
It is a wonderful and meanningful course, which can teach us the knowledge of Q-learning, expected Sarsa and so on.
创建者 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.
创建者 Mathew
•Jun 7, 2020
Very well structured and a great compliment to the Reinforcement Learning (2nd Edition) book by Sutton and Barto.
创建者 George M
•Feb 24, 2021
Very well defined course.
Exercises are fairly challenging and provide useful intuition into common problems.
创建者 Alaaeldin Z
•Dec 10, 2020
The course is amazing. The lectures are well organized. Quizes and assignments are very useful for learning.
创建者 maryam t
•Nov 16, 2021
A very good course for understanding basic concepts of RL. It is not enough for doing projects with coding.
创建者 Stewart A
•Sep 2, 2019
Great course! Lots of hands-on RL algorithms. I'm looking forward to the next course in the specialization.
创建者 Casey S S
•Feb 11, 2021
I thought this was an excellent sequel, introducing the reader to the fundamental innovations of RL.
创建者 Martin P
•May 30, 2020
A very interesting topic presented in an easy to consume form. It was fun learning with this course.
创建者 김한준
•Apr 7, 2020
The course is spectacular! I've learned countless material on Reinforcement learning! Thank you!
创建者 Roberto M
•Mar 28, 2020
The course is well organized and teachers provide a lot of examples to facilitate comprehension.
创建者 Chintan K
•Jul 22, 2020
the course videos were short and precise , which makes the learning content fun and informative
创建者 Wang G
•Oct 18, 2019
Very Nice Explanation and Assignment! Look forward the next 2 courses in this specialization!
创建者 Sodagreenmario
•Sep 17, 2019
Great course, but there are still some little bugs that can be fixed in notebook assignments.
创建者 Floris v R
•Jan 4, 2022
Very clear explanations in the videos, good tests & asignments. Complex stuff well explained
创建者 Chris D
•Apr 18, 2020
Very good. Minor issues with inconsistency between parameter naming in different exercises.
创建者 Alden C
•Nov 1, 2022
Compressing this much complication into such a tight package is a tremendous achievement.
创建者 Sirusala N S
•Jul 30, 2020
The concepts were explained very clearly. The assignments were helpful in understanding.
创建者 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.
创建者 Sérgio V C
•Mar 15, 2021
A good course to learn the basics of Monte Carlo methods for RL, as well as TD-methods!
创建者 Jau-Jie Y
•Jul 7, 2021
I am happy of the history talking of Barto and Sutton.
The others teachers were good.
创建者 Louis S
•Jun 5, 2020
Excellent content. The fact that it follows Sutton and Barto's TextBook is a must.