Excellent course! The assignment could be improved by adding input checking in methods with one-hot encoding of state as input. Which I suffered when I forgot to use the one-hot encoding and spent much time debugging.

These series of courses provide one of the best materials for an introduction to reinforcement learning and optimal control. If you are motivated to learn and challenge yourself with RL, don't look elsewhere.

Thank you so much for this invaluable gift.!! I am a knowledge seeker in Reinforcement Learning and UOA is my dream place I am wishing to enter for my Ph.D. This is a good guide I received. Many thanks.!!!

Difficult but excellent and impressing. Human being is incredible creating such ideas. This course shows a way to the state when all such ingenious ideas will be created by self learning algorithms.

The course extends the foundations of Reinforcement Learning to function approximation, which allows the application of the previous learned method to tackle more complex and real world problems.

Well peaced and thoughtfully explained course. Highly recommended for anyone willing to set solid grounding in Reinforcement Learning. Thank you Coursera and Univ. of Alberta for the masterclass.

Surely a level-up from the previous courses. This course adds to and extends what has been learned in courses 1 & 2 to a greater sphere of real-world problems. Great job Prof. Adam and Martha!

Adam & Martha really make the walk through Sutton & Barto's book a real pleasure and easy to understand. The notebooks and the practice quizzes greatly help to consolidate the material.

I had been reading the book of Reinforcement Learning An Introduction by myself. This class helped me to finish the study with a great learning environment. Thank you, Martha and Adam!

Great Learning, the best part was the Actor-Critic algorithm for a small pendulum swing task all from stratch using RLGLue library. Love to learn how experimentation in RL works.

The course was really good one with quizzes to make us remember the important lesson items and well polished Assignments are given which i haven't seen before in coursera

Good course with a lot of technical information. I would add another assignment or make current ones a little bit more extensive, as there are many concepts to learn.

Prof Satinder Singh lecture of "Where the rewards come from in RL" is very suprised.

Thanks to Prof Martha White and Prof Adam White, for their lecture and management.

Super interesting, challenging but the videos are very helpful to complement the understanding of the Sutton and Barto RL book. Thanks the Univ. of Alberta team!

I found the course quite tough but really interesting. I would say that reading the book's chapters more than once is necessary to optimally grasp the concepts.

This is the third instalment in reinforcement learning.so far so good. yeah, you can get stuck some times but it is okay you can make it out.

I consider the professors explain in a feasible way the main concepts of RL hence communicate effectively and concise in the course videos.

This specialization is a gift to humanity. It should have been inscribed into the golden disc of the Voyager and shared with the aliens.

this course bridged the gap to Deep Learning, the most exciting direction in RL. I would like a sequel dedicated to this from U Alberta

Really enjoyed every part of the course. Programming assignments are helpful in asserting the theoretical understanding of the subject.

A great and interactive course to learn about using function approximation for control. Great way to learn DRL and its alternatives.

Great course. Slightly more complex than courses 1 and 2, but a huge improvement in terms of applicability to real-world situations.

Very nice a biref introduction to sutton's book! But seems to leave out somt charpter in the book which makes me a little unhappy.

Martha and Adam are excellent instructors. This course is so well organized and presented. I have learned a lot! Thanks very much!

Give nive theoretical foundation. I found RL courses are abstract, but the programming assignment give a nice conceptualization.