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

4.7
stars
646 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

JJ

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.

CR

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.

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76 - 100 of 130 Reviews for A Complete Reinforcement Learning System (Capstone)

By Ben - C L Y

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Jul 9, 2020

A great showcase of the power of deep reinforcement learning!

By Steve Z

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Jul 13, 2021

Thank you so much for creating this specialization! - Steve

By Michael S

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Jun 6, 2020

Great exercise in practical implementation of basic RL.

By charles l

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Jan 28, 2021

absolutely the best course I ever had on coursera

By Chamani S

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Jan 30, 2021

Many thank you for this valuable lesson. !!!

By Antonis S

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Jun 20, 2020

Thank you for this wonderful RL journey!

By Yu G

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Jan 23, 2021

Easy-to-pass, worthwhile taking course.

By 김한준

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Apr 27, 2020

Never be replaced! Thank you so much!

By Andrew D G

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Nov 14, 2019

Excellent course and specialization

By Kai B

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Apr 25, 2021

Awesome course! Well put together.

By Fintan K

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Nov 24, 2020

Brilliant Course All Round!

By Adrian M N

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May 10, 2025

In-depth and challenging

By Choong-Wai F

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May 19, 2025

Great overview of RL!

By RICARDO A F S

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Nov 22, 2020

Let's go to the moon!

By Ryan Y

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Mar 4, 2021

Thank you very much!

By dariojavo

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Oct 18, 2020

Excellent material!

By Jose M S V

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Jun 29, 2020

excellent course

By BC

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May 6, 2020

Excellent course

By RUI D

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Aug 2, 2021

Nice Course!

By Yanlin L

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Apr 19, 2020

GOOGD GOOD

By WC C

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Nov 8, 2019

Enjoyable.

By Nithiroj T

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Dec 21, 2023

very good

By 남상혁

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Jan 18, 2021

Very good

By Will P

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May 22, 2020

Excellent

By A4

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Jan 1, 2020

awesome~