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    Back to A Complete Reinforcement Learning System (Capstone)

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

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    4.7
    stars
    637 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 ...
    ...

    Top reviews

    JJ

    Apr 28, 2020

    Filled StarFilled StarFilled StarFilled StarFilled Star

    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 27, 2020

    Filled StarFilled StarFilled StarFilled StarFilled Star

    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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    126 - 128 of 128 Reviews for A Complete Reinforcement Learning System (Capstone)

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    By Naoufel E B

    •

    Feb 16, 2020

    I would have expected to do more of the implementation in the capstone project.

    It is still quite useful to go through the details of what is implemented by the instructor for us, but not as effective as having to implement more of it ourselves.

    Thanks

    Filled StarFilled StarFilled StarStarStar

    By Dustin Z

    •

    May 6, 2021

    A good review of the material covered in the specialization. I would have liked to see a more thorough parameter study and deeper coverage of the environment wrapper around the OpenAI lunar lander environment.

    Filled StarStarStarStarStar

    By Manuel V

    •

    Nov 7, 2019

    Not worth it.

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