Chevron Left
Back to A Complete Reinforcement Learning System (Capstone)

Learner Reviews & Feedback for A Complete Reinforcement Learning System (Capstone) by University of Alberta

582 ratings

About the Course

In this final course, you will put together your knowledge from Courses 1, 2 and 3 to implement a complete RL solution to a problem. This capstone will let you see how each component---problem formulation, algorithm selection, parameter selection and representation design---fits together into a complete solution, and how to make appropriate choices when deploying RL in the real world. This project will require you to implement both the environment to stimulate your problem, and a control agent with Neural Network function approximation. In addition, you will conduct a scientific study of your learning system to develop your ability to assess the robustness of RL agents. To use RL in the real world, it is critical to (a) appropriately formalize the problem as an MDP, (b) select appropriate algorithms, (c ) identify what choices in your implementation will have large impacts on performance and (d) validate the expected behaviour of your algorithms. This capstone is valuable for anyone who is planning on using RL to solve real problems. To be successful in this course, you will need to have completed Courses 1, 2, and 3 of this Specialization or the equivalent. By the end of this course, you will be able to: Complete an RL solution to a problem, starting from problem formulation, appropriate algorithm selection and implementation and empirical study into the effectiveness of the solution....

Top reviews


Apr 27, 2020

This is the final chapter. It is one of the easiest and it was fun doing that lunar landing project. This specialisation is the best for a person taking baby steps in the reinforcement learning.


Feb 26, 2020

Great course for learning the fundamentals. I liked that it tied into function approximation for deep reinforcement learning. The text book made the fundamental concepts more clear.

Filter by:

1 - 25 of 123 Reviews for A Complete Reinforcement Learning System (Capstone)

By Daniel M

Nov 7, 2019

By Justin S

Dec 6, 2019

By Kayla S

Jan 13, 2020

By Alberto H

Jan 4, 2020

By D. R

Jan 2, 2020

By Ivan S F

Dec 14, 2019

By David C

Nov 13, 2019

By אלון ה

Dec 29, 2019

By Maxim V

Jan 25, 2020

By Neil H

Nov 10, 2021

By Alireza M

Dec 10, 2021

By Stewart A

Nov 9, 2019

By Qiuping X

Dec 24, 2019

By Connor W

Apr 1, 2021

By Maximiliano B

Apr 26, 2020

By Mohammed A N

Sep 29, 2020

By Niraj S

May 23, 2020

By Jesse W

Jul 29, 2020

By Mukund C

Apr 2, 2020

By César S

Sep 28, 2021

By Akash B

Dec 8, 2019

By Walter O A

Jan 18, 2020

By Varun B

Sep 20, 2020

By Pavel I

Jul 27, 2021

By Dale G

Aug 2, 2021