Graph Networks as Learnable Physics Engines for Inference and Control
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Alvaro Sanchez-Gonzalez, Nicolas Heess, Jost Tobias Springenberg, Josh Merel, Martin A. Riedmiller, Raia Hadsell, Peter W. Battaglia
Graph Networks as Learnable Physics Engines for Inference and Control
ICML, 2018.

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@inproceedings{ICML-2018-Sanchez-Gonzalez,
	author        = "Alvaro Sanchez-Gonzalez and Nicolas Heess and Jost Tobias Springenberg and Josh Merel and Martin A. Riedmiller and Raia Hadsell and Peter W. Battaglia",
	booktitle     = "{Proceedings of the 35th International Conference on Machine Learning}",
	ee            = "http://proceedings.mlr.press/v80/sanchez-gonzalez18a.html",
	pages         = "4467--4476",
	publisher     = "{PMLR}",
	title         = "{Graph Networks as Learnable Physics Engines for Inference and Control}",
	year          = 2018,
}

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