AC
Dec 1, 2019
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.
SJ
Jun 24, 2020
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!
By Charles X
•Jun 21, 2021
Gets hard to understand.
By Quarup B
•Jul 25, 2021
Content is great, but the text is super dense -- slow read for me. The lectures are much clearer, although also a bit dense / quick paced to retain the information long term (especially if one wishes to skip the reading).
By Prashant M
•Jun 7, 2020
great course material but you need read the RL book through out the course. Also assignments are bit difficult, oops concept is mandatory.
By Justin N
•Mar 31, 2020
Lectures are pretty good, but the programming exercises are extremely easy. All of the problems are rather contrived as well.
By Yassine B
•May 4, 2020
I think It must be more deep neural networks dedicated course and not focus on coarse and tile coding!!!
By Bernard C
•May 24, 2020
Course was good, but assignments were not well constructed. Problems with the unit tests were frequent.
By Lars R
•Aug 23, 2021
Feels to be too focussed on theory and math, instead on practically applying the best techniques.
By Vasilis V
•Jul 11, 2020
Needs more work in my opinion. It's not bad of course. I just believe that more intuition should be built with better examples, outside the text book rather than going through the actual mathematical proofs