Kursteilnehmer-Bewertung und -Feedback für Prediction and Control with Function Approximation von University of Alberta
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Top-Bewertungen
Surely a level-up from the previous courses. This course adds to and extends what has been learned in courses 1 & 2 to a greater sphere of real-world problems. Great job Prof. Adam and Martha!
Adam & Martha really make the walk through Sutton & Barto's book a real pleasure and easy to understand. The notebooks and the practice quizzes greatly help to consolidate the material.
26 - 50 von 99 Bewertungen für Prediction and Control with Function Approximation
von Rafael B M
•The course extends the foundations of Reinforcement Learning to function approximation, which allows the application of the previous learned method to tackle more complex and real world problems.
von Antonio C
•Well peaced and thoughtfully explained course. Highly recommended for anyone willing to set solid grounding in Reinforcement Learning. Thank you Coursera and Univ. of Alberta for the masterclass.
von Sandesh J
•Surely a level-up from the previous courses. This course adds to and extends what has been learned in courses 1 & 2 to a greater sphere of real-world problems. Great job Prof. Adam and Martha!
von Jose M R F
•Adam & Martha really make the walk through Sutton & Barto's book a real pleasure and easy to understand. The notebooks and the practice quizzes greatly help to consolidate the material.
von Ding L
•I had been reading the book of Reinforcement Learning An Introduction by myself. This class helped me to finish the study with a great learning environment. Thank you, Martha and Adam!
von Akash B
•Great Learning, the best part was the Actor-Critic algorithm for a small pendulum swing task all from stratch using RLGLue library. Love to learn how experimentation in RL works.
von Niju M N
•The course was really good one with quizzes to make us remember the important lesson items and well polished Assignments are given which i haven't seen before in coursera
von Christos P
•Good course with a lot of technical information. I would add another assignment or make current ones a little bit more extensive, as there are many concepts to learn.
von Roberto M
•I found the course quite tough but really interesting. I would say that reading the book's chapters more than once is necessary to optimally grasp the concepts.
von John J
•This is the third instalment in reinforcement learning.so far so good. yeah, you can get stuck some times but it is okay you can make it out.
von Sandro M A T
•I consider the professors explain in a feasible way the main concepts of RL hence communicate effectively and concise in the course videos.
von Kinal M
•A great and interactive course to learn about using function approximation for control. Great way to learn DRL and its alternatives.
von Ivan S F
•Great course. Slightly more complex than courses 1 and 2, but a huge improvement in terms of applicability to real-world situations.
von Yingping Z
•Very nice a biref introduction to sutton's book! But seems to leave out somt charpter in the book which makes me a little unhappy.
von Jicheng F
•Martha and Adam are excellent instructors. This course is so well organized and presented. I have learned a lot! Thanks very much!
von Wahyu G
•Give nive theoretical foundation. I found RL courses are abstract, but the programming assignment give a nice conceptualization.
von Andrew G
•Did a good job of attaching a programming assignment to each lesson and giving clear and detailed instructions throughout
von Alexander P
•Great course on more advanced reinforcement learning techniques. Can't wait to apply these new skills in the wild.
von Mathew
•Very well structured and a great compliment to the Reinforcement Learning (2nd Edition) book by Sutton and Barto.
von Joosung M
•The course materials were very informative, the assignments were challenging enough. Highly recommended!
von Tolga K
•Great course, great material and notebooks like previous courses. It was a great experience. Thank you!
von J B
•Very helpful course. Excellent delivery and practical labs. There's even someone helping in the forum!
von Eduardo I L H
•Excellent course. Focused in the theory of function approximation for reinforcement learning.
von Ricardo A F S
•A great course, I took a long time doing the assignments, but in the end I solved it
von Artur M
•Great course! Wished to see more about policy gradient methods, but it was awesome.
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