TU Berlin

Robotics and Biology LaboratoryLearning State Representations with Robotic Priors

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Learning State Representations with Robotic Priors

This simple python script contains the essence of our work on learning state representations with robotic priors and complements the paper to provide sufficient detail for reproducing our results and for reusing the method in other research while minimizing code overhead.

Repository: github.com/tu-rbo/learning-state-representations-with-robotic-priors

Accompanies paper: Learning State Representations with Robotic Priors

Maintainers: Rico Jonschkowski

Project: Representation Learning

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