Lecture quality could have been better. They look like practiced monologues rather than a class where a teacher is trying (hard) to explain a concept. If one has to wait for assignment to get the full grasp, it doesn't reflect too well on the instructors.

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.

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.

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.

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!

more detailed explanation of some of the assignments and how state values are got with tile coding but overall a great experience!

Great course, based on the reference book about reinforcement learning. A must for anyone interested in machine learning.

I loved the course videos and programming assignments. The only suggestion would be to go a little deeper in the videos.

This was a good course but I really struggled to understand how each of the value functions translated into code.

Programming exercises are not self explaining. But instructors are explaining concept in a perfect way

Great overall. The content on policy gradient could be expanded, some details were delivered hastily.

The average reward and differential return needs to be explained more thoroughly

Course is great! Maybe some slides would be helpful not to forget.

Gets hard to understand.

Content is great, but the text is super dense -- slow read for me. The lectures are much clearer, although also a bit dense / quick paced to retain the information long term (especially if one wishes to skip the reading).

great course material but you need read the RL book through out the course. Also assignments are bit difficult, oops concept is mandatory.

The content is good. The lectures are poor with the instructors doing little explanation other than reading equations off slides.

Lectures are pretty good, but the programming exercises are extremely easy. All of the problems are rather contrived as well.

I think It must be more deep neural networks dedicated course and not focus on coarse and tile coding!!!

Course was good, but assignments were not well constructed. Problems with the unit tests were frequent.