Well peaced and thoughtfully explained course. Highly recommended for anyone willing to set solid grounding in Reinforcement Learning. Thank you Coursera and Univ. of Alberta for the masterclass.
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!
von Lucas O S•
Great course, deserve 5 stars. It is a good complement to the book, it adds interesting visualizations to help parse the content. The only issues were in the exercises. There are technical issues with the notebook platform where it keeps disconnecting from time to time, with no warning, and you lose your unsaved work (seems like token expiration).
von Hugo V•
it was great to apply what I have learned from the book, but it was hard to find my mistakes in the course 3 notebook. I also misunderstood the alphas in the course 4 notebook at first glance, their indices look like they are powers (sorry for the bad english). Besides it, great course.
von Lik M C•
The course is still good. But the assignment is not as good as course 1 and 2. In fact, the contents of the course are getting complicated and interesting as well. But the assignments are relatively simple.
von Mark P•
Solid intro course. Wish we covered more using neural nets. The neural net equations used very non-standard notation. Wish the assignments were a little more creative. Too much grid world.
von Anton P•
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.
von Vladyslav Y•
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!
von Sharang P•
more detailed explanation of some of the assignments and how state values are got with tile coding but overall a great experience!
von Jerome b•
Great course, based on the reference book about reinforcement learning. A must for anyone interested in machine learning.
von Rajesh M•
I loved the course videos and programming assignments. The only suggestion would be to go a little deeper in the videos.
von SCOTT A•
This was a good course but I really struggled to understand how each of the value functions translated into code.
von Rishabh K•
The average reward and differential return needs to be explained more thoroughly
Course is great! Maybe some slides would be helpful not to forget.
von Prashant M•
great course material but you need read the RL book through out the course. Also assignments are bit difficult, oops concept is mandatory.
von Justin N•
Lectures are pretty good, but the programming exercises are extremely easy. All of the problems are rather contrived as well.
von Bakhti Y•
I think It must be more deep neural networks dedicated course and not focus on coarse and tile coding!!!
von Bernard C•
Course was good, but assignments were not well constructed. Problems with the unit tests were frequent.
von Vasileios V•
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