It brings general understanding. The main focus is reading the book. Assignments are about the introduction, help to understand, but they can be improved.

I really enjoyed the course, especially the guest segments (I got to know important people from that). Presenters did a good job but can be more relaxed.

Very good introductory course for reinforcement learning. Good coding assignment, but could add more visual representation to understand the transition.

Very good theoretical contents, pretty much in line with the textbook - practical coding parts are mostly exercises of conversion of equations into code

However, Missing the lectures of slide, the supported book is very good. The lectures are very simple and one can finish fast.

Thanks for teaching team.

The content was very well organized, but applications could have been better understood using more complex numerical algorithms and more assignments.

The guest lecture on truck fleet management was not great, the teacher tried to cover lot more material in a short time in the video then possible.

The fundamentals of Bandits and MDPs are well covered. A major plus is the way we are made to read the text book before attending the lectures.

A solid start with theoretical fundament. Assignment 2 was too cumbersome, lacking the description of actions encoded in the assignment.

More Python examples are needed throughout the lessons.

Not only at the final. No proper introduction to DL Python library is given.

I was hoping for a bit more practical application too, but this course does a solid job at teaching you the theory thoroughly.

Auto-grading of programming exercises did not work that well, but other than that, it was very instructive and well presented.

The course is mostly a repeat of the text book. Fortunately the text book is free. Regardless, the material is interesting.

Highly recommended for the beginners. If you are new to RL then this course is the best along with Sutton and Barto Book.

pretty good course for RL basics, not as in depth as the book and programming assignments were too easy, but good intro

there is so many great fundamental stuff here, with deep theoric background, but it lacks some practical approach

I thought the lectures were informative, but the pacing could have been a bit faster to get through more content.

Excellent course, with several practical examples of the theory being explained. I found week 3 a little dense.

Week 3 should be improved a bit. It is a bit confusing to understand. Btw Great course. Keep the good work up.

Quizzes and assignments are a bit challenging. It might be easier if questions are better elucidated.

This is a good course, the problem I see is that it is not covering enough material for the cost

Great course, yet a bit superficial. If you want to understand details, you have grind on your own.

I enjoyed the course, especially week 3 and week 4 materials. I would have like more examples.

Thanks for the amazing course! It would be great if we had access to the lecture slides.

I dont understand the two games in this course. I have no idea how to mark them as done.