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.
This course is one of the best I've learned so far in coursera. The explanations are clear and concise enough. It took a while for me to understand Bellman equation but when I did, it felt amazing!
By krishna c•
The guest lecture on truck fleet management was not great, the teacher tried to cover lot more material in a short time in the video then possible.
The fundamentals of Bandits and MDPs are well covered. A major plus is the way we are made to read the text book before attending the lectures.
By Slav K•
A solid start with theoretical fundament. Assignment 2 was too cumbersome, lacking the description of actions encoded in the assignment.
By Petru R•
More Python examples are needed throughout the lessons.
Not only at the final. No proper introduction to DL Python library is given.
By NEHUL B•
I was hoping for a bit more practical application too, but this course does a solid job at teaching you the theory thoroughly.
By Matthew C•
Auto-grading of programming exercises did not work that well, but other than that, it was very instructive and well presented.
By Mark C•
The course is mostly a repeat of the text book. Fortunately the text book is free. Regardless, the material is interesting.
By Muhammad U S•
Highly recommended for the beginners. If you are new to RL then this course is the best along with Sutton and Barto Book.
By Matthew W•
pretty good course for RL basics, not as in depth as the book and programming assignments were too easy, but good intro
By parham M•
there is so many great fundamental stuff here, with deep theoric background, but it lacks some practical approach
By Christopher C•
I thought the lectures were informative, but the pacing could have been a bit faster to get through more content.
By Rafael V M•
Excellent course, with several practical examples of the theory being explained. I found week 3 a little dense.
By Balsher S•
Week 3 should be improved a bit. It is a bit confusing to understand. Btw Great course. Keep the good work up.
By Sharmili S•
Quizzes and assignments are a bit challenging. It might be easier if questions are better elucidated.
Great course, yet a bit superficial. If you want to understand details, you have grind on your own.
By Aze A•
I enjoyed the course, especially week 3 and week 4 materials. I would have like more examples.
By Daxkumar J•
this is a basic course of the RL and its very great to learn with University Alberta.
By Simon N•
Very good introduction. Helps you get through Sutton and Barto (free pdf supplied).
By Anirudh B•
Needs more coding implementation according to me. But overall theory was good.
By Zia M U D•
Tutors are fantastic, but should also focus on programming not just on theory.
By Mohamed H•
I think it will be perfect if the board and pen are used to drive equations.
By Maxim V•
Good content, but most of it is in the textbook, not so much in the videos.
By Sri R R•
The course was cool but needed some more programming assignments.
By Francisco R•
Excellent in terms of learning the foundations of RL.
There could be more coding examples for each module.