學生對 阿尔伯塔大学 提供的 Fundamentals of Reinforcement Learning 的評價和反饋

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.

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.

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.

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.

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!

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。

The course is well designed. It contains the essential material of RL and relates closely with the RL Bible textbook. And the programming assignment is also benifical to understanding the basics.

This course was super helpful. I had tried a couple other online introductions to RL, but this was the only one where I could really engage and learn the material effectively. Would recommend!