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Partitioning Distributed Compute Jobs with Reinforcement Learning and
  Graph Neural Networks

Partitioning Distributed Compute Jobs with Reinforcement Learning and Graph Neural Networks

31 January 2023
Christopher W. F. Parsonson
Zacharaya Shabka
Alessandro Ottino
G. Zervas
ArXivPDFHTML

Papers citing "Partitioning Distributed Compute Jobs with Reinforcement Learning and Graph Neural Networks"

4 / 4 papers shown
Title
Hierarchical Reinforcement Learning By Discovering Intrinsic Options
Hierarchical Reinforcement Learning By Discovering Intrinsic Options
Jesse Zhang
Haonan Yu
W. Xu
BDL
120
81
0
16 Jan 2021
Improving Generalization in Reinforcement Learning with Mixture
  Regularization
Improving Generalization in Reinforcement Learning with Mixture Regularization
Kaixin Wang
Bingyi Kang
Jie Shao
Jiashi Feng
104
113
0
21 Oct 2020
Scaling Laws for Neural Language Models
Scaling Laws for Neural Language Models
Jared Kaplan
Sam McCandlish
T. Henighan
Tom B. Brown
B. Chess
R. Child
Scott Gray
Alec Radford
Jeff Wu
Dario Amodei
223
4,424
0
23 Jan 2020
Google's Neural Machine Translation System: Bridging the Gap between
  Human and Machine Translation
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation
Yonghui Wu
M. Schuster
Z. Chen
Quoc V. Le
Mohammad Norouzi
...
Alex Rudnick
Oriol Vinyals
G. Corrado
Macduff Hughes
J. Dean
AIMat
716
6,724
0
26 Sep 2016
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