Solving the Walking Robot Problem with Reinforcement Learning

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: https://youtube.com/playlist?list=PLn8PRpmsu08qw_IwpgVNsKiJQpvvW0MmM

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: https://youtu.be/2pWv7GOvuf0
- Reinforcement Learning Toolbox: https://bit.ly/2YjuAYa
- Deep Reinforcement Learning for Walking Robots: https://www.youtube.com/watch?v=6DL5M9b2j6I

Check out the individual videos in the series:

• What Is Reinforcement Learning?: https://youtu.be/pc-H4vyg2L4
• Understanding the Environment and Rewards: https://youtu.be/0ODB_DvMiDI
• Policies and Learning Algorithms: https://youtu.be/7cF3VzP5EDI
• The Walking Robot Problem: https://youtu.be/Wypc1a-1ZYA
• Overcoming the Practical Challenges: https://youtu.be/zHV3UcH-nr0
• An Introduction to Multi-Agent Reinforcement Learning: https://youtu.be/qgb0gyrpiGk
• Why Choose Model-Based Reinforcement Learning?: https://youtu.be/ztT2ZLWTfXw

--------------------------------------------------------------------------------------------------------
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.