Deep FPF: Gain function approximation in high-dimensional setting

S. Yagiz Olmez, Amirhossein Taghvaei, Prashant G. Mehta. Deep FPF: Gain function approximation in high-dimensional setting. In 59th IEEE Conference on Decision and Control, CDC 2020, Jeju Island, South Korea, December 14-18, 2020. pages 4790-4795, IEEE, 2020. [doi]

@inproceedings{OlmezTM20,
  title = {Deep FPF: Gain function approximation in high-dimensional setting},
  author = {S. Yagiz Olmez and Amirhossein Taghvaei and Prashant G. Mehta},
  year = {2020},
  doi = {10.1109/CDC42340.2020.9304260},
  url = {https://doi.org/10.1109/CDC42340.2020.9304260},
  researchr = {https://researchr.org/publication/OlmezTM20},
  cites = {0},
  citedby = {0},
  pages = {4790-4795},
  booktitle = {59th IEEE Conference on Decision and Control, CDC 2020, Jeju Island, South Korea, December 14-18, 2020},
  publisher = {IEEE},
  isbn = {978-1-7281-7447-1},
}