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We present an approach for maximizing a global utility function by learning how to allocate resources in an unsupervised way.
Differentiation of blackbox combinatorial solvers
Marin Vlastelica, Anselm Paulus, Vít Musil, Georg Martius, and Michal Rolínek · 1912
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Discrete-Variable extremum problems
George B Dantzig · 1957
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Differential evolution – a simple and efficient heuristic for global optimization over continuous spaces
Rainer Storn and Kenneth Price · 1997
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Cosmology: A Very Short Introduction
Peter Coles · 2001
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Learning with differentiable perturbed optimizers
Quentin Berthet, Mathieu Blondel, Olivier Teboul, Marco Cuturi, Jean-Philippe Vert, and Francis Bach · 2002
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Resource allocation in the grid using reinforcement learning
Aram Galstyan, Karl Czajkowski, and Kristina Lerman · 2004
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The graph neural network model
Franco Scarselli, Marco Gori, Ah Chung Tsoi, Markus Hagenbuchner, and Gabriele Monfardini · 2009
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Interaction networks for learning about objects, relations and physics
Peter Battaglia, Razvan Pascanu, Matthew Lai, Danilo Jimenez Rezende, et al · 2016
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Mastering the game of go with deep neural networks and tree search
David Silver, Aja Huang, Chris J Maddison, Arthur Guez, Laurent Sifre, George van den Driessche, Julian Schrittwieser, Ioannis Antonoglou, Veda Panneershelvam, Marc Lanctot, Sander Dieleman, Dominik Grewe, John Nham, Nal Kalchbrenner, Ilya Sutskever, Timothy Lillicrap, Madeleine Leach, Koray Kavukcuoglu, Thore Graepel, and Demis Hassabis · 2016
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Geometric deep learning: going beyond euclidean data
Michael M Bronstein, Joan Bruna, Yann LeCun, Arthur Szlam, and Pierre Vandergheynst · 2017
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Neural message passing for quantum chemistry
Justin Gilmer, Samuel S Schoenholz, Patrick F Riley, Oriol Vinyals, and George E Dahl · 2017
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A hierarchical framework of cloud resource allocation and power management using deep reinforcement learning, 2017
Ning Liu, Zhe Li, Zhiyuan Xu, Jielong Xu, Sheng Lin, Qinru Qiu, Jian Tang, and Yanzhi Wang · 2017
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Relational inductive biases, deep learning, and graph networks
Peter W Battaglia, Jessica B Hamrick, Victor Bapst, Alvaro Sanchez-Gonzalez, Vinicius Zambaldi, Mateusz Malinowski, Andrea Tacchetti, David Raposo, Adam Santoro, Ryan Faulkner, Caglar Gulcehre, Francis Song, Andrew Ballard, Justin Gilmer, George Dahl, Ashish Vaswani, Kelsey Allen, Charles Nash, Victoria Langston, Chris Dyer, Nicolas Heess, Daan Wierstra, Pushmeet Kohli, Matt Botvinick, Oriol Vinyals, Yujia Li, and Razvan Pascanu · 2018
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Optimal resource allocation using reinforcement learning for iot content-centric services
Deep reinforcement learning based resource allocation for v2v communications
H. Ye, G. Y. Li, and B. F. Juang · 2019
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Discovering symbolic models from deep learning with inductive biases
Miles Cranmer, Alvaro Sanchez-Gonzalez, Peter Battaglia, Rui Xu, Kyle Cranmer, David Spergel, and Shirley Ho · 2020
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Optimal wireless resource allocation with random edge graph neural networks
Mark Eisen and Alejandro Ribeiro · 2020
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Resource allocation via graph neural networks in free space optical fronthaul networks, 2020
Zhan Gao, Mark Eisen, and Alejandro Ribeiro · 2020
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Policy-gnn: Aggregation optimization for graph neural networks
Kwei-Herng Lai, Daochen Zha, Kaixiong Zhou, and Xia Hu · 2020
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On the design of consequential ranking algorithms
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Keke Gai and Meikang Qiu · 2018
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Nervenet: Learning structured policy with graph neural networks
Tingwu Wang, Renjie Liao, Jimmy Ba, and Sanja Fidler · 2018
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Learning symbolic physics with graph networks
Miles D. Cranmer, Rui Xu, Peter Battaglia, and Shirley Ho · 2019
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A framework for telescope schedulers: With applications to the large synoptic survey telescope
Elahesadat Naghib, Peter Yoachim, Robert J Vanderbei, Andrew J Connolly, and R Lynne Jones · 2019
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The dark energy spectroscopic instrument (DESI)
Michael E Levi, Lori E Allen, Anand Raichoor, Charles Baltay, Segev BenZvi, Florian Beutler, Adam Bolton, Francisco J Castander, Chia-Hsun Chuang, Andrew Cooper, Jean-Gabriel Cuby, Arjun Dey, Daniel Eisenstein, Xiaohui Fan, Brenna Flaugher, Carlos Frenk, Alma X Gonzalez-Morales, Or Graur, Julien Guy, Salman Habib, Klaus Honscheid, Stephanie Juneau, Jean-Paul Kneib, Ofer Lahav, Dustin Lang, Alexie Leauthaud, Betta Lusso, Axel de la Macorra, Marc Manera, Paul Martini, Shude Mao, Jeffrey A Newman, Nathalie Palanque-Delabrouille, Will J Percival, Carlos Allende Prieto, Constance M Rockosi, Vanina Ruhlmann-Kleider, David Schlegel, Hee-Jong Seo, Yong-Seon Song, Greg Tarle, Risa Wechsler, David Weinberg, Christophe Yeche, and Ying Zu
Cited in the paper.
Behzad Tabibian, Vicenç Gómez, Abir De, Bernhard Schölkopf, and Manuel Gomez Rodriguez · 2020
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The quijote simulations
Francisco Villaescusa-Navarro, Changhoon Hahn, Elena Massara, Arka Banerjee, Ana Maria Delgado, Doogesh Kodi Ramanah, Tom Charnock, Elena Giusarma, Yin Li, Erwan Allys, Antoine Brochard, Cora Uhlemann, Chi-Ting Chiang, Siyu He, Alice Pisani, Andrej Obuljen, Yu Feng, Emanuele Castorina, Gabriella Contardo, Christina D Kreisch, Andrina Nicola, Justin Alsing, Roman Scoccimarro, Licia Verde, Matteo Viel, Shirley Ho, Stephane Mallat, Benjamin Wandelt, and David N Spergel · 2020
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The Quijote Simulations
Francisco Villaescusa-Navarro, ChangHoon Hahn, Elena Massara, Arka Banerjee, Ana Maria Delgado, Doogesh Kodi Ramanah, Tom Charnock, Elena Giusarma, Yin Li, Erwan Allys, Antoine Brochard, Cora Uhlemann, Chi-Ting Chiang, Siyu He, Alice Pisani, Andrej Obuljen, Yu Feng, Emanuele Castorina, Gabriella Contardo, Christina D. Kreisch, Andrina Nicola, Justin Alsing, Roman Scoccimarro, Licia Verde, Matteo Viel, Shirley Ho, Stephane Mallat, Benjamin Wandelt, and David N. Spergel · 2020
Later among the works it cites.