Best course on basics of Reinforcement Learning so far. Clear explanations, relevant quizz and coding exercises to really understand what we are dealing with in this field.

Very practical and learning-oriented. Providing the textbook in PDF is a big plus. I think there should be more programming exercises. Great course anyway. Worth taking it.

I really enjoyed this course. The examples and the infrastructure provided (jupyter notebooks as assingments) made this course one of the best MOOCs that I have ever taken

I was surprised how much this course challenged me compared to others I have taken on this platform.

It strongly demands the viewer to understand the topic of the course.

I have learned a lot about the fundamental of reinforcement learning! Thanks a lot!

Two instructors are delivering an excellent course and the whole team did a great job!

I had some exposure to RL before but this course really tied together many things I learned so far and I'm very much looking forward to the rest of this specialization.

hws, quizzes, lectures were all prepared with great care!!!

definitely makes you learn the basics...

looking forward to the remaining 3 courses in this specialization...

Great course in general. Very clear step-by-step explanations of the theory needed to understand, plus practical examples to be able to fully understand the concepts.

Great course, To be honest this course has made my concepts very clear, and I highly appreciate the way Martha ma'am and Adam sir taught. I really enjoyed the course.

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.

Amazing course! This course goes through the fundamentals of RL covering both theory and practicals(through programming assignments). The book is also great to read.

A very good course integrated with Sutton and Barto textbook. A good foundation of RL can be learned from this class. It also balances well with theory and practice.

It is a good course to get an idea about what reinforcement learning is and what are its wide application. It covers the basic concepts and is very well organized.

Good course following the classic book but it is kept at an easy pace for diverse people to be able to understand and apply the concepts of reinforcement learning.

best reinforcement learning on the cousera so far! all the concepts are presented in a very clear manner and plenty examples provided to facilitate understanding.

Got me kickstarted with RL pretty well. I tried reading the RL book myself previously, but having complementary lectures and assignments made all the difference.

great course; well explained and exercises reinforce the learnt material. also, great that this course uses Sutton's and Barto's book on reinforcement learning.

The course gives basic ideas for introductory concepts for RL. This course is recommended for RL learners who would like to get some basic intuitions for RL.

Very detailed introduction to Reinforcement Learning. The course introduces all the necessary math and probability required to better understand this field.

Simple and intuitive learning material. Creators of this course has taken care to introduce concepts in a learner friendly manner unlike most courses here.

Extraordinary material. Good examples and exercises. Works very well if you take the lessons together with reading the book. Congratulations on the course!

This is a very helpful courses to help me walk through the Reinforcement Learning book with different kind of practices. Looking forward to taking course2!

I love their way of teaching, they ask you to read, understand firstly, and then start to give a lecture about what it is, which helps a lot to understand.

Very clearly explained videos that makes it easy to follow the textbook. Programing assignments and quizzes + explanation help understanding a lot!

Very good. Has a great book suppliment to better understand the concept. The lecture and the book is highly related. So it's much easier to study.