%0 Conference Paper %1 conf/icml/Sanchez-Gonzalez18 %A Sanchez-Gonzalez, Alvaro %A Heess, Nicolas %A Springenberg, Jost Tobias %A Merel, Josh %A Riedmiller, Martin A. %A Hadsell, Raia %A Battaglia, Peter W. %B ICML %D 2018 %E Dy, Jennifer G. %E Krause, Andreas %I PMLR %K dblp %P 4467-4476 %T Graph Networks as Learnable Physics Engines for Inference and Control. %U http://dblp.uni-trier.de/db/conf/icml/icml2018.html#Sanchez-Gonzalez18 %V 80

@inproceedings{conf/icml/Sanchez-Gonzalez18, added-at = {2019-07-24T00:00:00.000+0200}, author = {Sanchez-Gonzalez, Alvaro and Heess, Nicolas and Springenberg, Jost Tobias and Merel, Josh and Riedmiller, Martin A. and Hadsell, Raia and Battaglia, Peter W.}, biburl = {https://www.bibsonomy.org/bibtex/26c821bccb7a372a10795bfd23d2e8ad4/dblp}, booktitle = {ICML}, crossref = {conf/icml/2018}, editor = {Dy, Jennifer G. and Krause, Andreas}, ee = {http://proceedings.mlr.press/v80/sanchez-gonzalez18a.html}, interhash = {22d8aa631a7668e856b10e1720432603}, intrahash = {6c821bccb7a372a10795bfd23d2e8ad4}, keywords = {dblp}, pages = {4467-4476}, publisher = {PMLR}, series = {Proceedings of Machine Learning Research}, timestamp = {2019-07-25T11:42:25.000+0200}, title = {Graph Networks as Learnable Physics Engines for Inference and Control.}, url = {http://dblp.uni-trier.de/db/conf/icml/icml2018.html#Sanchez-Gonzalez18}, volume = 80, year = 2018 }