Disturbance Decoupling for Gradient-Based Multi-Agent Learning With Quadratic Costs. Li, S. H. Q., Ratliff, L. J., & Açikmese, B. IEEE Control. Syst. Lett., 5(1):223–228, 2021.
Disturbance Decoupling for Gradient-Based Multi-Agent Learning With Quadratic Costs [link]Paper  doi  bibtex   1 download  
@article{DBLP:journals/csysl/LiRA21,
  author       = {Sarah H. Q. Li and
                  Lillian J. Ratliff and
                  Beh{\c{c}}et A{\c{c}}ikmese},
  title        = {Disturbance Decoupling for Gradient-Based Multi-Agent Learning With
                  Quadratic Costs},
  journal      = {{IEEE} Control. Syst. Lett.},
  volume       = {5},
  number       = {1},
  pages        = {223--228},
  year         = {2021},
  url          = {https://doi.org/10.1109/LCSYS.2020.3001240},
  doi          = {10.1109/LCSYS.2020.3001240},
  timestamp    = {Thu, 14 Oct 2021 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/csysl/LiRA21.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

Downloads: 1