Deep Reinforcement and Imitation Learning for Self-driving Tasks

Sergio Hernández-García, Alfredo Cuesta-Infante. Deep Reinforcement and Imitation Learning for Self-driving Tasks. In Enrique Alba, Gabriel Luque, Francisco Chicano, Carlos Cotta, David Camacho, Manuel Ojeda-Aciego, Susana Montes, Alicia Troncoso, José C. Riquelme, Rodrigo Gil-Merino, editors, Advances in Artificial Intelligence - 19th Conference of the Spanish Association for Artificial Intelligence, CAEPIA 2020/2021, Málaga, Spain, September 22-24, 2021, Proceedings. Volume 12882 of Lecture Notes in Computer Science, pages 65-74, Springer, 2021. [doi]

@inproceedings{Hernandez-Garcia21-0,
  title = {Deep Reinforcement and Imitation Learning for Self-driving Tasks},
  author = {Sergio Hernández-García and Alfredo Cuesta-Infante},
  year = {2021},
  doi = {10.1007/978-3-030-85713-4_7},
  url = {https://doi.org/10.1007/978-3-030-85713-4_7},
  researchr = {https://researchr.org/publication/Hernandez-Garcia21-0},
  cites = {0},
  citedby = {0},
  pages = {65-74},
  booktitle = {Advances in Artificial Intelligence - 19th Conference of the Spanish Association for Artificial Intelligence, CAEPIA 2020/2021, Málaga, Spain, September 22-24, 2021, Proceedings},
  editor = {Enrique Alba and Gabriel Luque and Francisco Chicano and Carlos Cotta and David Camacho and Manuel Ojeda-Aciego and Susana Montes and Alicia Troncoso and José C. Riquelme and Rodrigo Gil-Merino},
  volume = {12882},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-85713-4},
}