Great course, I think theory is really well explained and book is great, but including more practice exercises is needed for this course to strengthen the learning of concepts.

The course is well developed, reading the reference book is the most important thing that you will do while taking this course. The delivery of both instructors seems robotic.

Very good an enjoyable course. It seemed like the explanations dwelled on the easier parts and skipped the parts that I would like to have seen in concrete numbers.

The instructions on how to translate equations to code could have either had examples in the presentations or in the jupyter notebooks. Overall an excellent course.

Please stop playing the music at the beginning of each video. Also, remove the animation sound from presentation slide transitions, they are interrupting the flow.

It will be good to include more detailed examples and more practice exercices in week 2 and 3. Also to repair the week 4 submission.

Although, It is a good course.

Without reading the recommended book, course material would not be sufficient. Coding exercises quite good and also quizzes' are suitable for beginner level

Good understanding of the fundamentals and aptly paced. The programming assignments were very good if there were more like that the course could get better

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 conceptual learning through the course is really good, however the coding assignments would be much better if they were to be a bit more intuitive

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

It is a difficult course. Will be useful to have more intuitive discussion + more programming assignments - hard to see how all the terms play out.

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 little more clarity while describing and solving the problem or examples please as I was stuck sometimes figuring out basic misconceptions.

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.