Overcoming the Practical Challenges when using Reinforcement Learning

This video addresses a few challenges that occur when using reinforcement learning for production systems and provides some ways to mitigate them. Even if there aren’t straightforward ways to address some of the challenges that you’ll face, at the very least it’ll get you thinking about them. This video will cover the difficulties of verifying the learned solution, pinpointing the location of failures, and manually fixing the policy. It will show some workarounds that make the policy more robust and the overall system safer. Lastly, it will show how you can use reinforcement learning to learn the parameters in a traditional control system and why, at the moment, that can be the best of both worlds. 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: - Drone Simulation and Control Tech Talk playlist: https://www.youtube.com/playlist?list=PLn8PRpmsu08oOLBVYYIwwN_nvuyUqEjrj - Challenges in the Verification of Reinforcement Learning Algorithms, Wesel and Goodloe: https://ntrs.nasa.gov/archive/nasa/casi.ntrs.nasa.gov/20170007190.pdf - Reinforcement Learning by Sutton and Barto: http://bit.ly/2HAYbb4 - RL course by David Silver: https://youtu.be/2pWv7GOvuf0 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.