The course covers the fundamentals of reinforcement-learning and also deals with complex mathematic equations. However the math is very good explained in the videos and the 2 programming exercises help a lot for understanding this topic.

Solid class covering the basics of tabular Reinforcement Learning.

They follow the Sutton and Barto book pretty closely, so they start with some dummy examples to demonstrate things. The real interesting stuff isn't until a later course.

Slow means smooth. Smooth means fast. This course introduces you efficiently into the world of RL. And this is what you want. Everything is perfectly to the point. All exercise are here to boost your understanding. Highly recommended.

This course provides a good fundamental knowledge about the Reinforcement Learning. The source material, RL by Sutton and Barto, provides very good intuition od concepts with examples and also explains every topic in much detail.

Course contents are good and easy to understand. Textbook is really a good supplement to lecture videos. Assignment difficulties are between being easy and moderate. It's really fun and encouraging when completing the assignments.

The pattern of this course is amazing. Each video is short and has a specific objective that's clearly stated. This approach to teaching made tough topics look easy. Assignments and quizzes were doable. Amazing experience overall!

Course was beautifully made. I tried to learn RL from multiple different courses but I couldn't understand them. This course was different however, the assignments were made in a way that helped me understand concepts concretely.

E​xcellent!

V​ery good videos, very pedagogical teachers!

V​ery good book!

L​ooking forward to upcoming courses

T​his (in competition with the Data structures and algorithms specialization) is the best I have seen yet on Coursera!

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.!

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.

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.