Solving the Walking Robot Problem with Reinforcement Learning

>> YOUR LINK HERE: ___ http://youtube.com/watch?v=Wypc1a-1ZYA

This video shows how to use the reinforcement learning workflow to get a bipedal robot to walk. It also looks at how to modify the default example to make it look more like how one would set up a traditional control problem by adding a reference signal. It will also consider how a Reinforcement Learning equipped agent can replace parts of a traditional control system rather than an end-to-end design. Finally, we show some of the limitations of this design. • You can find the example model used in this video in the MATLAB Central File Exchange: http://bit.ly/2HBxe79 • Watch our full video series about Reinforcement Learning: • Reinforcement Learning • By the end of this series, you’ll be better prepared to answer questions like: • What is reinforcement learning and why should I consider it when solving my control problem? • How do I set up and solve the reinforcement learning problem? • What are some of the benefits and drawbacks of reinforcement learning compared to a traditional controls approach? • Artificial intelligence, machine learning, deep neural networks. These are terms that can spark your imagination of a future where robots are thinking and evolving creatures. • Check out these other resources: • Reinforcement Learning by Sutton and Barto: http://bit.ly/2HAYbb4 • Reinforcement Learning Course by David Silver: • RL Course by David Silver - Lecture 1... • Reinforcement Learning Toolbox: https://bit.ly/2YjuAYa • Deep Reinforcement Learning for Walking Robots: • Deep Reinforcement Learning for Walki... • Check out the individual videos in the series: • • What Is Reinforcement Learning?: • What Is Reinforcement Learning? • • Understanding the Environment and Rewards: • Understanding Reinforcement Learning ... • • Policies and Learning Algorithms: • Reinforcement Learning Policies and L... • • The Walking Robot Problem: • Solving the Walking Robot Problem wit... • • Overcoming the Practical Challenges: • Overcoming the Practical Challenges w... • • An Introduction to Multi-Agent Reinforcement Learning: • Introduction to Multi-Agent Reinforce... • • Why Choose Model-Based Reinforcement Learning?: • Why Choose Model-Based Reinforcement ... • -------------------------------------------------------------------------------------------------------- • Get a free product Trial: https://goo.gl/ZHFb5u • Learn more about MATLAB: https://goo.gl/8QV7ZZ • Learn more about Simulink: https://goo.gl/nqnbLe • See What's new in MATLAB and Simulink: https://goo.gl/pgGtod • © 2019 The MathWorks, Inc. MATLAB and Simulink are registered • trademarks of The MathWorks, Inc. • See www.mathworks.com/trademarks for a list of additional trademarks. Other product or brand names may be trademarks or registered trademarks of their respective holders.

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