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!
創建者 Daxkumar J•
this is a basic course of the RL and its very great to learn with University Alberta.
創建者 Simon N•
Very good introduction. Helps you get through Sutton and Barto (free pdf supplied).
創建者 Anirudh B•
Needs more coding implementation according to me. But overall theory was good.
創建者 Zia M U D•
Tutors are fantastic, but should also focus on programming not just on theory.
創建者 Mohamed H•
I think it will be perfect if the board and pen are used to drive equations.
創建者 Maxim V•
Good content, but most of it is in the textbook, not so much in the videos.
創建者 Eli K•
Programming exercises teach the material a lot better than quizzes
創建者 Sri R R•
The course was cool but needed some more programming assignments.
創建者 Francisco R•
Excellent in terms of learning the foundations of RL.
There could be more coding examples for each module.
創建者 Jeroen v H•
Quite theoretical. But a good base of the concepts.
創建者 Husam D•
I wished there were more coding assignments
創建者 Shahram E•
創建者 Matin S•
it was a bit hard in code assignments
創建者 Mark R•
創建者 Arnaud 3•
創建者 Arpan M•
創建者 Youval D•
Good examples can simplify things greatly. there where several places where an extra step would add value. Some lessons, such as the problem with the trucks could go a little deeper. Assignment grading system is buggy. I spend hours (that I do not have) because I used "transition" as a variable. After I figured this out, I was no longer able to know if other error is due to some other things the Notebook does not like or if there are actual errors. I also posted some questions but never got any response to any of them.
創建者 Chandan R S•
Not much satisfied with the course structure...
To successfully understand and complete this course, you constantly need to refer the reference book.
Most of the students are referring to online courses so that they can learn more efficiently than reading,
any casual book reader can easily complete this course but for the person who like to learn from videos rather than book reading (like me), it was not so great experience.
創建者 Rafael C P•
The content is there and it is good, but teachers lack good teaching skills and lessons feel rushed (Ng lectures come to mind as positive examples of good practices). Also, lessons aren't self-contained, as you need to read the book if you want to get good grades on the tests. I was looking for a smoother experience than the book, not to be told to read the book, which I can do without a course.
I would have learned more if the course had a coding assignment each week, or at least example code available for similar problems. I had a good theoretical understanding of everything we needed to do but very poor practical understanding.
The course did serve as a good introduction to the theory of reinforcement learning, and certainly acts as a good starting point.
創建者 Vaddadi S R•
The programming exercises are quite tough and difficult to code on our own. Concepts were explained nicely, however, lacks examples. Working out examples would have given an even better insight. Another video that could have proven useful is how to convert a real-world problem into an MDP.
創建者 Saeid G•
The good thing about this course is that it is based on the bible of reinforcement learning and it is thoughts by the experts in the field. However, the pace of the teaching is extremely fast and it is quite hard to keep with the pace even for someone with some background in the RL.