Interactive Learning with Corrective Feedback for Policies based on Deep Neural Networks (bibtex)

by Rodrigo Pérez-Dattari, Carlos E. Celemin, Javier Ruiz-del-Solar, and Jens Kober

Reference:

Rodrigo Pérez-Dattari, Carlos E. Celemin, Javier Ruiz-del-Solar, and Jens Kober. Interactive Learning with Corrective Feedback for Policies based on Deep Neural Networks. In Proceedings of the 2018 International Symposium on Experimental Robotics (ISER 2018) (Jing Xiao, Torsten Kröger, Oussama Khatib, eds.), Springer International Publishing, pp. 353–363, 2020.

Bibtex Entry:

@InProceedings{PerezDattari2018ISER,
  author    = {P\'{e}rez-Dattari, Rodrigo AND Celemin, Carlos E. AND Ruiz-del-Solar, Javier AND Kober, Jens},
  title     = {Interactive Learning with Corrective Feedback for Policies based on Deep Neural Networks},
  booktitle = {Proceedings of the 2018 International Symposium on Experimental Robotics (ISER 2018)},
  year      = {2020},
  editor    = {Xiao, Jing AND Kr\"{o}ger, Torsten AND Khatib, Oussama},
  pages     = {353--363},
  publisher = {Springer International Publishing},
  doi       = {10.1007/978-3-030-33950-0_31},
  file      = {http://www.jenskober.de/publications/PerezDattari2018ISER.pdf},
  code      = {https://github.com/rperezdattari/Interactive-Learning-with-Corrective-Feedback-for-Policies-based-on-Deep-Neural-Networks},
  video     = {https://youtu.be/vcEtuRrRIe4},
  oa        = {green},
}