The Final project is Lunar Lander , applying what we learned in the previous courses in the specialisation.The assignment is friendly with more comments and easy to understand. It covers the implementation of Adam optimiser too .Over all a good course and specialisation

This course sums up all the fundamental knowledge acquired from the previous 3 courses. It covers comprehensively on a sample end-to-end RL problem think process, application and assessment on the performance of model. It helped me better visualize how RL can be applied.

Thanks to Prof Martha White and Prof Adam White, for their hard working on teaching.

The Prof Drew Bagnell lecture on "system ID and optimal control" is interesting. The Prof Sucan Murphy lecture on "RL in mobile health" is also interesting.

This capstone works as a case study of the application of the full RL framework into solving a complex control problem, in this course, it's possible to review and reinforce all the knowledge acquired from the previous courses.

Would be great if we can see the video of our agent instead of a pre-recorded video. Also, the checking is not perfect and inconsistent. A great course and I learned a lot in RL. Thanks Martha and Adam! Wish you all the best!

Best course I have taken on Coursera so far. A great mathematically oriented introduction to RL techniques, ending with the modern state of the field. I would reccomend this course to anyone interested in RL!

Step by step to build a RL system and instructions on what needs to be considered in each step. Those sessions by experts are really good. all of them are instructive and give view of RL usage in real world.

Excellent course and excellent labs. The course is so well organized and well explained that it feels like a story with chapters. I wish there was a pdf with all the slides for future references. Thanks!

Very good project!

It was interesting to put it all together.

The videos guide you through the thinking process to understand the limitations and features of the project before concluding with the design.

This is the final chapter. It is one of the easiest and it was fun doing that lunar landing project. This specialisation is the best for a person taking baby steps in the reinforcement learning.

Great course for learning the fundamentals. I liked that it tied into function approximation for deep reinforcement learning. The text book made the fundamental concepts more clear.

Loved this entire course. Learned a lot. In a relatively easy way.

Lots of fun of as well. Indeed, I have already used some of these new skills in the real world.

Couldn't be better!

Very good course and specialization. If you want to get the most out of it, I recommend following their required reading and keep reading that book to cover other chapter as well.

This training course is better than all other trainings by having programming exercises. The learner implements the algorithms in practice, which helps him / her to learn better.

Matha and Adam, thank you again. I will try to apply what I learned here to my own work, a content recommendation system based on deep learning and reinforcement learning.

One of the most amazing set of courses that I have ever been through. This neither makes the stuff look difficult nor does it compromise on quality, absolutely the best.

Excellent specialization course with step by step capstone project. This specialization gave me confidence and a way to understand, learn and explore more on RL topics.

The project seems to be complicated at first glance, but the notebook will guide you through the implementation, and you will know what you are doing eventually.

The course is applicative in real world projects. I think it is a very good choice for any one that is interested to learn how to apply reinforcement learning.

The last course of the specialization provides full implementation of built knowledge by the previous lessons so it is well designed for the capstone project.

I was awesome to learn the theory and apply different RL algorithms successfully to solve basic problems that would be really hard to accomplish without RL.

Thanks a lot for offering this specialization! I really enjoyed watching the videos and working on the assignments while exploring various topics of RL.

Strongly recommend this course to others. The project could be a little more challenging though. Thanks, Martha, Adam, and RAs, for your good teaching!

Great great course, very comprehensive, does give strong foundations in Reinforcement Learning. The difficulty of the assignments is well balanced.

The course is well constructed guiding you till the end of the project. Maybe it would be funny to see our own agent failing and learning.