Towards sample-efficient policy learning with DAC-ML

Ismael T. Freire, Adrián Fernández Amil, Vasiliki Vouloutsi, Paul F. M. J. Verschure. Towards sample-efficient policy learning with DAC-ML. In Alexei V. Samsonovich, Valentin V. Klimov, editors, Proceedings of the 2020 Annual International Conference on Brain-Inspired Cognitive Architectures for Artificial Intelligence, BICA 2020, Eleventh Annual Meeting of the BICA Society, November 10-15, 2020, Virtual Event / Natal, Rio Grande do Norte, Brazil. Volume 190 of Procedia Computer Science, pages 256-262, Elsevier, 2020. [doi]

@inproceedings{FreireAVV20,
  title = {Towards sample-efficient policy learning with DAC-ML},
  author = {Ismael T. Freire and Adrián Fernández Amil and Vasiliki Vouloutsi and Paul F. M. J. Verschure},
  year = {2020},
  doi = {10.1016/j.procs.2021.06.035},
  url = {https://doi.org/10.1016/j.procs.2021.06.035},
  researchr = {https://researchr.org/publication/FreireAVV20},
  cites = {0},
  citedby = {0},
  pages = {256-262},
  booktitle = {Proceedings of the 2020 Annual International Conference on Brain-Inspired Cognitive Architectures for Artificial Intelligence, BICA 2020, Eleventh Annual Meeting of the BICA Society, November 10-15, 2020, Virtual Event / Natal, Rio Grande do Norte, Brazil},
  editor = {Alexei V. Samsonovich and Valentin V. Klimov},
  volume = {190},
  series = {Procedia Computer Science},
  publisher = {Elsevier},
}