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Adapting to Dynamic LEO-B5G Systems: Meta-Critic Learning Based
  Efficient Resource Scheduling

Adapting to Dynamic LEO-B5G Systems: Meta-Critic Learning Based Efficient Resource Scheduling

13 October 2021
Yaxiong Yuan
Lei Lei
T. Vu
Zheng Chang
Symeon Chatzinotas
Sumei Sun
ArXiv (abs)PDFHTML

Papers citing "Adapting to Dynamic LEO-B5G Systems: Meta-Critic Learning Based Efficient Resource Scheduling"

5 / 5 papers shown
Title
Integrating LEO Satellite and UAV Relaying via Reinforcement Learning
  for Non-Terrestrial Networks
Integrating LEO Satellite and UAV Relaying via Reinforcement Learning for Non-Terrestrial Networks
Ju-Hyung Lee
Jihong Park
M. Bennis
Young-Chai Ko
52
36
0
26 May 2020
Learning under Concept Drift: A Review
Learning under Concept Drift: A Review
Jie Lu
Anjin Liu
Fan Dong
Feng Gu
João Gama
Guangquan Zhang
AI4TS
67
1,293
0
13 Apr 2020
Meta-Learning Representations for Continual Learning
Meta-Learning Representations for Continual Learning
Khurram Javed
Martha White
KELMCLL
85
321
0
29 May 2019
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
849
11,971
0
09 Mar 2017
Convolutional Neural Networks at Constrained Time Cost
Convolutional Neural Networks at Constrained Time Cost
Kaiming He
Jian Sun
3DV
93
1,292
0
04 Dec 2014
1