Fundamentals of Reinforcement Learning

I definitely recommend this course to have a solid foundation in Reinforcement Learning and I am looking forward to start the next course of the specialization.

Very well designed course on the fundamentals of reinforcement learning.

It was a really nice lecture that helped me a lot to understand the fundamentals of reinforcement learning.

Although it follows the first four chapters of the Reinforcement Learning textbook, it provides a little bit different narrative and thus serves as a very nice complement to the textbook.

The good thing about this course is that it is based on the bible of reinforcement learning and it is thoughts by the experts in the field.

(pardon my 4 stars, sorry) Great introductional course on Reinforcement Learning I understood all the necessary concepts of RL.

I wished there were more coding assignments Fantastic course in the fundamentals of RL It's good to learn about reinforcement learning in fundamental Good!

This course is one of the great online course in Coursera which help people dig into reinforcement learning correctly.

This course is very benificial for the people who want to attempt to the area of reinforcement learning.

An excellent introduction to the subject of Reinforcement Learning, accompanied by a very clear text book.

Awesome course which drills in the fundamental concepts of reinforcement learning.

However, I have learnt significantly on reinforcement learning during the course.

This course goes through the fundamentals of RL covering both theory and practicals(through programming assignments).

I think (even) more programming assignments would make the course even better.

One improvement may be needed is to add more "modern" examples and programming assignments/modules to explain the concepts.

Last week of this course was nice, great programming assignment.

I understand better from the programming assignment I really liked this course.

Could use some more programming assignments.

My only comment will be on the case study given on the final programming assignment.

loved it Nice programming assignments.

That gives you more information if you need it.One problem that I guess will be solved in the future is that there is a bug in the Programming Assignment submission code.

Furthermore I would have liked to have more programming assignments and also more quizzes to practice the theory.

It was a good course, but I feel like there could have been programming assignments for week 2 and 3 to really help understand the bellman equations.

And the programming assignment is also benifical to understanding the basics.

Also it made me look at the book of Sutton and Barto and found that it was a good experience.

It has a lot of mathematical theory and exercises, derivations, really good explanations, and even some coding tasks to apply this knowledge.At first I was doubtful I would make it to the end as I was feeling rusty on my maths since I didn't practice them much after university, but with effort and patience I was able to see how everything is built from the ground up and got a really good picture of how the fundamentals of RL work.The course is based on the famous "Reinforcement Learning: An Introduction" by Sutton and Barto, the 2nd edition of which was only released recently, and which the Data Scientists I work with say is the go-to book for RL.

Course material is standard and mostly follows Sutton and Barto textbook.

All in all, it was a decent introduction to RL and the videos cleared some of the confusion that arised just by reading the RL handbook by Sutton & Barto.

Also maybe doing more programming exercises in between the ones we did in order to implement each step would be great.

I think there should be more programming exercises.

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

Impressed by the knowledge of professors in the video and inspite of that they took so much interest in teaching minor concepts to students which are trivial to them.

The book is a magnificent resource available digitally for free, but I have enjoyed this course so much that I got the physical version, and after auditing the course for a week decided to jump in to do my best in the whole specialization.