Jun 25, 2020
Surely a level-up from the previous courses. This course adds to and extends what has been learned in courses 1 & 2 to a greater sphere of real-world problems. Great job Prof. Adam and Martha!
Aug 14, 2020
Adam & Martha really make the walk through Sutton & Barto's book a real pleasure and easy to understand. The notebooks and the practice quizzes greatly help to consolidate the material.
By Anton P•
Apr 13, 2020
There is a lot of material covered in the course. Be aware the pace picks up considerably from the first two courses. This said, it is a worthwhile course to take.
By Vladyslav Y•
Sep 08, 2020
I wish agents that are based on visual information (with the usage of CNN) would be included in the course. But overall that was really great!
By Sharang P•
Feb 27, 2020
more detailed explanation of some of the assignments and how state values are got with tile coding but overall a great experience!
By Jerome b•
Apr 09, 2020
Great course, based on the reference book about reinforcement learning. A must for anyone interested in machine learning.
By Rajesh M•
Apr 17, 2020
I loved the course videos and programming assignments. The only suggestion would be to go a little deeper in the videos.
By SCOTT A•
Aug 06, 2020
This was a good course but I really struggled to understand how each of the value functions translated into code.
By Rishabh K•
May 20, 2020
The average reward and differential return needs to be explained more thoroughly
Oct 17, 2019
Course is great! Maybe some slides would be helpful not to forget.
By Prashant M•
Jun 07, 2020
great course material but you need read the RL book through out the course. Also assignments are bit difficult, oops concept is mandatory.
By Justin N•
Mar 31, 2020
Lectures are pretty good, but the programming exercises are extremely easy. All of the problems are rather contrived as well.
By Bakhti Y•
May 04, 2020
I think It must be more deep neural networks dedicated course and not focus on coarse and tile coding!!!
By Bernard C•
May 24, 2020
Course was good, but assignments were not well constructed. Problems with the unit tests were frequent.
By Vasileios V•
Jul 11, 2020
Needs more work in my opinion. It's not bad of course. I just believe that more intuition should be built with better examples, outside the text book rather than going through the actual mathematical proofs