Corpus ID: 204008428

Manifold learning from a teacher's demonstrations

@article{Wang2019ManifoldLF,
  title={Manifold learning from a teacher's demonstrations},
  author={P. Wang and A. Givchi and Patrick Shafto},
  journal={ArXiv},
  year={2019},
  volume={abs/1910.04615}
}
  • P. Wang, A. Givchi, Patrick Shafto
  • Published 2019
  • Mathematics, Computer Science
  • ArXiv
  • We consider the problem of manifold learning. Extending existing approaches of learning from randomly sampled data points, we consider contexts where data may be chosen by a teacher. We analyze learning from teachers who can provide structured data such as points, comparisons (pairs of points), demonstrations (sequences). We prove results showing that the former two do not yield notable decreases in the amount of data required to infer a manifold. Teaching by demonstration can yield remarkable… CONTINUE READING