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This repository contains the source code to perform Geometry-aware Bayesian Optimization (GaBO) on Riemannian manifolds.
This repository contains the code for the paper "Geometry-aware Bayesian Optimization in Roboticsusing Riemannian Matérn Kernels" (CoRL'21).
This repository contains the codes for manipulability learning, tracking and transfer.
This repository contains the code for GMR-based Gaussian process.
This repository contains code examples for the paper "Learning to sequence and blend robotics skills via differentiable optimization".
This repository contains the code of the Geometry-aware Bayesian Optimization (GaBO) framework.
PyRoboLearn: a Python framework for Robot Learning
This repository contains the code for the tensor mixture of experts algorithm.
Python toolbox for optimization on Riemannian manifolds with support for automatic differentiation
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