Online Action Learning using Kernel Density Estimation for Quick Discovery of Good Parameters for Peg-in-Hole Insertion

Lars Carøe Sørensen, Jacob Pørksen Buch, Henrik Gordon Petersen, Dirk Kraft. Online Action Learning using Kernel Density Estimation for Quick Discovery of Good Parameters for Peg-in-Hole Insertion. In Oleg Gusikhin, Dimitri Peaucelle, Kurosh Madani, editors, Proceedings of the 13th International Conference on Informatics in Control, Automation and Robotics (ICINCO 2016) - Volume 2, Lisbon, Portugal, July 29-31, 2016. pages 166-177, SciTePress, 2016. [doi]

@inproceedings{SorensenBPK16,
  title = {Online Action Learning using Kernel Density Estimation for Quick Discovery of Good Parameters for Peg-in-Hole Insertion},
  author = {Lars Carøe Sørensen and Jacob Pørksen Buch and Henrik Gordon Petersen and Dirk Kraft},
  year = {2016},
  doi = {10.5220/0005958801660177},
  url = {http://dx.doi.org/10.5220/0005958801660177},
  researchr = {https://researchr.org/publication/SorensenBPK16},
  cites = {0},
  citedby = {0},
  pages = {166-177},
  booktitle = {Proceedings of the 13th International Conference on Informatics in Control, Automation and Robotics (ICINCO 2016) - Volume 2, Lisbon, Portugal, July 29-31, 2016},
  editor = {Oleg Gusikhin and Dimitri Peaucelle and Kurosh Madani},
  publisher = {SciTePress},
  isbn = {978-989-758-198-4},
}