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 International Symposium on Experimental Robotics (ISER) (Jing Xiao, Torsten Kröger, Oussama Khatib, eds.), Springer International Publishing, pp. 353–363, 2018.
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 = {International Symposium on Experimental Robotics (ISER)},
  year      = {2018},
  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},
}
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