Planning with Learned Object Importance in Large Problem Instances using Graph Neural Networks

Tom Silver, Rohan Chitnis, Aidan Curtis, Joshua B. Tenenbaum, Tomás Lozano-Pérez, Leslie Pack Kaelbling. Planning with Learned Object Importance in Large Problem Instances using Graph Neural Networks. In Thirty-Fifth AAAI Conference on Artificial Intelligence, AAAI 2021, Thirty-Third Conference on Innovative Applications of Artificial Intelligence, IAAI 2021, The Eleventh Symposium on Educational Advances in Artificial Intelligence, EAAI 2021, Virtual Event, February 2-9, 2021. pages 11962-11971, AAAI Press, 2021. [doi]

@inproceedings{SilverCCTLK21,
  title = {Planning with Learned Object Importance in Large Problem Instances using Graph Neural Networks},
  author = {Tom Silver and Rohan Chitnis and Aidan Curtis and Joshua B. Tenenbaum and Tomás Lozano-Pérez and Leslie Pack Kaelbling},
  year = {2021},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/17421},
  researchr = {https://researchr.org/publication/SilverCCTLK21},
  cites = {0},
  citedby = {0},
  pages = {11962-11971},
  booktitle = {Thirty-Fifth AAAI Conference on Artificial Intelligence, AAAI 2021, Thirty-Third Conference on Innovative Applications of Artificial Intelligence, IAAI 2021, The Eleventh Symposium on Educational Advances in Artificial Intelligence, EAAI 2021, Virtual Event, February 2-9, 2021},
  publisher = {AAAI Press},
  isbn = {978-1-57735-866-4},
}