An excellent introduction to Reinforcement Learning, accompanied by a well-organized & informative handbook. I definitely recommend this course to have a strong foundation in Reinforcement Learning.
This course is one of the best I've learned so far in coursera. The explanations are clear and concise enough. It took a while for me to understand Bellman equation but when I did, it felt amazing!
By Aravind M•
A really good introductory course to RL. The instructors have structured the course in the same manner as in the specified textbook (which is also great), so it's easy to follow them both at the same time.
By Aaron H•
Great material, and awesome coding exercises. Some additional information or context around a few of the problems would have been great, but nonetheless the struggle allowed me to grow in my knowledge!
By Aboozar R•
The video lectures were very short and just a repetition of the book itself. After we studied the book, the lectures didn't have anything new for us. They should have been different and more hands-on.
By Aidan M•
Don't think it would be unreasonable to have more demanding coding assignments where all functions are made from scratch (though the function names and some comments might be provided as an outline.
By Ulf Ä•
The book is essential reading. It took me longer than the estimates to do the reading and the programming assignments. I would have liked more gridworld examples to get a faster hang of it.
By Christian J R F•
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.
By Narendra G•
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.
By Nils S•
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.
By Nathaniel W•
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.
By David S•
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.
By Muhammed A Ç•
Without reading the recommended book, course material would not be sufficient. Coding exercises quite good and also quizzes' are suitable for beginner level
By Naresh T•
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.
By Romesh M P•
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.
By Jo K•
Very good introductory course for reinforcement learning. Good coding assignment, but could add more visual representation to understand the transition.
By Marcello M•
Very good theoretical contents, pretty much in line with the textbook - practical coding parts are mostly exercises of conversion of equations into code
By Mahmmoud M•
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.
By Prakhar J•
The content was very well organized, but applications could have been better understood using more complex numerical algorithms and more assignments.
By krishna c•
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.
By Slav K•
A solid start with theoretical fundament. Assignment 2 was too cumbersome, lacking the description of actions encoded in the assignment.
By Petru R•
More Python examples are needed throughout the lessons.
Not only at the final. No proper introduction to DL Python library is given.
By NEHUL B•
I was hoping for a bit more practical application too, but this course does a solid job at teaching you the theory thoroughly.
By Matthew C•
Auto-grading of programming exercises did not work that well, but other than that, it was very instructive and well presented.
By Muhammad U S•
Highly recommended for the beginners. If you are new to RL then this course is the best along with Sutton and Barto Book.