This is the best course I've found on RL. The lectures are to the point and both the lecturers are very good. The best part however is the graded assignments at the end of each week where we get to apply everything we learnt.

This is not an easy cousre even to a computer degree graduate but it opens my eyes further on AI. I am understanding why RL is really quite different from ordinary supervised/unsupervied machine learning and neural networks.

Challenging and perfect introduction to reinforcement learning with a great blend of theory + quizzes + practical and discussions in between to engage. Thank you everyone for this course. Moving on to the next course.

Really good course.! The videos help to understand difficult concepts. The last assignment was challenging for me (I'm Ph.D. in electronics, not in computer science). In general a really good and recommended course.!

This course provides a good summary on the basics of Reinforcement learning. I really like the invite talks in this course as it provides some a different angle in understanding the materials and their applications.

The course was very good overall. The lectures are clear and succinct. I think the programming assignements need to be reworked a bit. I think the way the helper code is setup in the assignements is not so pythonic.

Great course. I specifically recommend it as a completion to the reference book by R. Sutton. That course really helped me better understand some of the key concepts in the book. Looking forward to the next course.

Amazing course. Amazing contents. The book is perfect and the lectures help clarify doubts that one may have from reading the book. With there were more programming assignments, but still it is a very good course.

Very good course! It introduces basic concepts necessary to understand the basic reinforcement learning algorithms. The course is well structured, and the practical activities help a lot to fix the studied content.

Short videos, with list of objectives at the beginning and recap and the end, and clear explanations in between. In my opinion, all teachers should watch these videos to get an example on how good courses are done.

The reading is a little bit challenging, but everything was explained very clearly with helpful examples in lecture videos. Absolutely recommend for someone who want to explore the field of Reinforcement Learning.

Extremely useful course. Especially the format is very effective. First read the book, then listen the extra explanations and write Python code. Concepts are really clear for me now. Thanks for such amazing work.

Good reading material, good lectures, good practice quizzes and good labs. The material does a good job of combining the rigor of the Bellman equations with an intuition of what they mean and how they are used.

I was already familiar with a lot of the subjects in the course, but the way Martha and Adam explained everything really cemented all of the knowledge for me. Now instead of just familiarity I have real skills.

Great course for learning fundamentals. My only complaint is that I don't quite feel comfortable implementing what I have learned with coding yet. Maybe as I progress in the specialization this will get better.

The course build up a solid ground for building more complex concepts of Reinforcement Learning, It's essential to master the core fundamentals of RL in order to seek more powerful and sophisticated methods.

Excellent course, with an excellent explaination of Markov Decision Process and Dynamic Programming by the 2 teachers. The quizzes and the final exercice are challenging and make you search in the text book.

Well designed, well taught course. I think I'd have liked it if there were more and tougher programming assignments as opposed to the quizzes, but this definitely provides an accessible introduction to RL.

Very good explain, and included some real world example, like trunk assign.

The dynamic animation of grid world MDP calculation also was good, though I hope more slowly show the steps interval.

Thanks a lot

This course is very benificial for the people who want to attempt to the area of reinforcement learning. People should regularly follow the book in parallel to video lectures to benefit from this course.

This course is clear in its delivery. The examples were helpful in helping me grasp the concept. I understood the fundamentals of reinforcement learning and I am able to apply some basic element of it.

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.

All the concepts were well explained and this course was perhaps the best I have found for RL.

Great efforts have been put into making the course and It goes well in line with the suggested textbook.

The concepts may sound confusing in the beginning, but as you go forward you find it interesting and understanding. I suggest you completely read the reading assignments before watching the videos.

许多次尝试看UCL或者Sutton的课都中途放弃，太难了。而这个课程让我很轻松的入门且了解了最基本的东西。这个课程最不同的在于，学习时要配合上Sutton的书，课程和书互为补充，有些课程没有讲清楚的地方书中有很多解释，而书中生涩难懂的地方课程又有很形象详细的解释。体验极佳。特别感谢课程助教即使的回复。哪怕是书中的句子的问题助教都给出很详细的解释，真的很久没在Coursera上过这么棒的课了。