Generalizable Resource Allocation in Stream Processing via Deep
Reinforcement Learning

Generalizable Resource Allocation in Stream Processing via Deep Reinforcement Learning

19 November 2019

Papers citing "Generalizable Resource Allocation in Stream Processing via Deep Reinforcement Learning"

18 / 18 papers shown

Title
DAG-GNN: DAG Structure Learning with Graph Neural Networks Yue Yu Jie Chen Tian Gao Mo Yu BDL CML GNN 71 486 0 22 Apr 2019
Learning Multimodal Graph-to-Graph Translation for Molecular Optimization Wengong Jin Kevin Kaichuang Yang Regina Barzilay Tommi Jaakkola 85 228 0 03 Dec 2018
Learning Scheduling Algorithms for Data Processing Clusters Hongzi Mao Malte Schwarzkopf S. Venkatakrishnan Zili Meng Mohammad Alizadeh OffRL 76 646 0 03 Oct 2018
Exploiting Rich Syntactic Information for Semantic Parsing with Graph-to-Sequence Model Kun Xu Lingfei Wu Zhiguo Wang Mo Yu Liwei Chen V. Sheinin GNN 57 77 0 23 Aug 2018
Memory Augmented Policy Optimization for Program Synthesis and Semantic Parsing Chen Liang Mohammad Norouzi Jonathan Berant Quoc V. Le Ni Lao 69 134 0 06 Jul 2018
Model-Free Control for Distributed Stream Data Processing using Deep Reinforcement Learning Teng Li Zhiyuan Xu Jian Tang Yanzhi Wang 27 78 0 02 Mar 2018
Junction Tree Variational Autoencoder for Molecular Graph Generation Wengong Jin Regina Barzilay Tommi Jaakkola 345 1,366 0 12 Feb 2018
Progressive Neural Architecture Search Chenxi Liu Barret Zoph Maxim Neumann Jonathon Shlens Wei Hua Li Li Li Fei-Fei Alan Yuille Jonathan Huang Kevin Patrick Murphy 103 1,988 0 02 Dec 2017
Device Placement Optimization with Reinforcement Learning Azalia Mirhoseini Hieu H. Pham Quoc V. Le Benoit Steiner Rasmus Larsen Yuefeng Zhou Naveen Kumar Mohammad Norouzi Samy Bengio J. Dean 82 440 0 13 Jun 2017
Inductive Representation Learning on Large Graphs William L. Hamilton Z. Ying J. Leskovec 482 15,218 0 07 Jun 2017
Retrosynthetic reaction prediction using neural sequence-to-sequence models Bowen Liu Bharath Ramsundar Prasad Kawthekar Jade Shi Joseph Gomes Quang Luu Nguyen Stephen Ho Jack L. Sloane P. Wender Vijay S. Pande 55 418 0 06 Jun 2017
Learning Combinatorial Optimization Algorithms over Graphs H. Dai Elias Boutros Khalil Yuyu Zhang B. Dilkina Le Song 105 1,467 0 05 Apr 2017
A Hierarchical Framework of Cloud Resource Allocation and Power Management Using Deep Reinforcement Learning Ning Liu Zhe Li Zhiyuan Xu Jielong Xu Sheng Lin Qinru Qiu Jian Tang Yanzhi Wang 32 248 0 13 Mar 2017
Neural Architecture Search with Reinforcement Learning Barret Zoph Quoc V. Le 447 5,369 0 05 Nov 2016
Semi-Supervised Classification with Graph Convolutional Networks Thomas Kipf Max Welling GNN SSL 604 29,032 0 09 Sep 2016
Learning to Search Better Than Your Teacher Kai-Wei Chang A. Krishnamurthy Alekh Agarwal Hal Daumé John Langford OffRL 50 231 0 08 Feb 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.7K 150,006 0 22 Dec 2014
Neural Machine Translation by Jointly Learning to Align and Translate Dzmitry Bahdanau Kyunghyun Cho Yoshua Bengio AIMat 541 27,295 0 01 Sep 2014