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New functionality: GPR, RichardsSystem, DMPContextual

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@stulp stulp released this 26 Sep 21:12
· 1 commit to master since this release

In this release, the following functionality has been added to the Python implementations.

  • functionapproximators.FunctionApproximatorGPR
    • An implementation of Gaussian Process with a Gaussian kernel function.
  • dynamicalsystems.RichardsSystem
    • A sigmoidial dynamical system with more parameters than the simple SigmoidSystem.
  • dmp.DmpContextualTwoStep
    • A contextual DMP implement, as in silva, peters
  • bbo.DistributionGaussianBounded
    • A Gaussian distribution with bounds, i.e. samples will always be within these bounds. Mathematically ugly, but very useful in practice.