Lecture
Why Standard ML is Not Sufficient: Learning and Adaptive Control
In course
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Description
This lecture explores the limitations of standard machine learning algorithms in creating stable dynamical systems for robots. Topics include the challenges of using out-of-the-box ML tools, demonstrations of vector fields, training data selection, and the application of support vector regression and Gaussian mixture regression for control law learning.
Official source
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Ontological neighbourhood