Control-Tutored Reinforcement Learning: Towards the Integration of Data-Driven and Model-Based Control

Francesco De Lellis, Marco Coraggio, Giovanni Russo 0002, Mirco Musolesi, Mario di Bernardo. Control-Tutored Reinforcement Learning: Towards the Integration of Data-Driven and Model-Based Control. In Roya Firoozi, Negar Mehr, Esen Yel, Rika Antonova, Jeannette Bohg, Mac Schwager, Mykel J. Kochenderfer, editors, Learning for Dynamics and Control Conference, L4DC 2022, 23-24 June 2022, Stanford University, Stanford, CA, USA. Volume 168 of Proceedings of Machine Learning Research, pages 1048-1059, PMLR, 2022. [doi]

@inproceedings{LellisC0MB22,
  title = {Control-Tutored Reinforcement Learning: Towards the Integration of Data-Driven and Model-Based Control},
  author = {Francesco De Lellis and Marco Coraggio and Giovanni Russo 0002 and Mirco Musolesi and Mario di Bernardo},
  year = {2022},
  url = {https://proceedings.mlr.press/v168/lellis22a.html},
  researchr = {https://researchr.org/publication/LellisC0MB22},
  cites = {0},
  citedby = {0},
  pages = {1048-1059},
  booktitle = {Learning for Dynamics and Control Conference, L4DC 2022, 23-24 June 2022, Stanford University, Stanford, CA, USA},
  editor = {Roya Firoozi and Negar Mehr and Esen Yel and Rika Antonova and Jeannette Bohg and Mac Schwager and Mykel J. Kochenderfer},
  volume = {168},
  series = {Proceedings of Machine Learning Research},
  publisher = {PMLR},
}