Using the mean and covariance of similar source skills to initialize a policy search distribution makes simulated robot skill learning faster and often more accurate than random initialization.
Neuroscience-inspired artificial intelligence,
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Experience Reuse with Probabilistic Movement Primitives
Using the mean and covariance of similar source skills to initialize a policy search distribution makes simulated robot skill learning faster and often more accurate than random initialization.