Modeling Partially Observable Systems using Graph-Based Memory and Topological Priors

Published in The 4th Annual Learning for Dynamics and Control Conference, 2022

PMLR

Modeling memory as a graph using GNNs


@InProceedings{pmlr-v168-morad22a,
  title = 	 {Modeling Partially Observable Systems using Graph-Based Memory and Topological Priors},
  author =       {Morad, Steven and Liwicki, Stephan and Kortvelesy, Ryan and Mecca, Roberto and Prorok, Amanda},
  booktitle = 	 {Proceedings of The 4th Annual Learning for Dynamics and Control Conference},
  pages = 	 {59--73},
  year = 	 {2022},
  editor = 	 {Firoozi, Roya and Mehr, Negar and Yel, Esen and Antonova, Rika and Bohg, Jeannette and Schwager, Mac and Kochenderfer, Mykel},
  volume = 	 {168},
  series = 	 {Proceedings of Machine Learning Research},
  month = 	 {23--24 Jun},
  publisher =    {PMLR},
  pdf = 	 {https://proceedings.mlr.press/v168/morad22a/morad22a.pdf},
  url = 	 {https://proceedings.mlr.press/v168/morad22a.html},
}