Interactive Learning of Temporal Features for Control: Shaping Policies and State Representations From Human Feedback (bibtex)

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

Reference:

Rodrigo Pérez-Dattari, Carlos E. Celemin, Giovanni Franzese, Javier Ruiz-del-Solar, and Jens Kober. Interactive Learning of Temporal Features for Control: Shaping Policies and State Representations From Human Feedback. IEEE Robotics & Automation Magazine, 27(2):46–54, 2020.

Bibtex Entry:

@Article{PerezDattari2020RAM,
  author  = {P\'{e}rez-Dattari, Rodrigo AND Celemin, Carlos E. AND Franzese, Giovanni AND Ruiz-del-Solar, Javier AND Kober, Jens},
  journal = {IEEE Robotics \& Automation Magazine},
  title   = {Interactive Learning of Temporal Features for Control: Shaping Policies and State Representations From Human Feedback},
  year    = {2020},
  number  = {2},
  pages   = {46--54},
  volume  = {27},
  code    = {https://github.com/rperezdattari/Interactive-Learning-of-Temporal-Features-for-Control},
  doi     = {10.1109/MRA.2020.2983649},
  file    = {http://www.jenskober.de/publications/PerezDattari2020RAM.pdf},
  project = {FlexCRAFT and TERI},
  video   = {https://youtu.be/4kWGfNdm21A},
  oa      = {green},
}