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Fast Adaptive Task Offloading in Edge Computing based on Meta
  Reinforcement Learning

Fast Adaptive Task Offloading in Edge Computing based on Meta Reinforcement Learning

5 August 2020
Jin Wang
Jia Hu
Geyong Min
Albert Y. Zomaya
N. Georgalas
    OffRL
ArXivPDFHTML

Papers citing "Fast Adaptive Task Offloading in Edge Computing based on Meta Reinforcement Learning"

18 / 18 papers shown
Title
UniLCD: Unified Local-Cloud Decision-Making via Reinforcement Learning
UniLCD: Unified Local-Cloud Decision-Making via Reinforcement Learning
Kathakoli Sengupta
Zhongkai Shagguan
Sandesh Bharadwaj
Sanjay Arora
Eshed Ohn-Bar
Renato Mancuso
61
0
0
17 Sep 2024
Digital Twin-assisted Reinforcement Learning for Resource-aware
  Microservice Offloading in Edge Computing
Digital Twin-assisted Reinforcement Learning for Resource-aware Microservice Offloading in Edge Computing
Xiangchun Chen
Jiannong Cao
Zhixuan Liang
Yuvraj Sahni
Mingjin Zhang
18
1
0
13 Mar 2024
TPTO: A Transformer-PPO based Task Offloading Solution for Edge
  Computing Environments
TPTO: A Transformer-PPO based Task Offloading Solution for Edge Computing Environments
N. Gholipour
M. D. Assunção
Pranav Agarwal
Julien Gascon-Samson
Rajkumar Buyya
19
1
0
18 Dec 2023
μ-DDRL: A QoS-Aware Distributed Deep Reinforcement Learning
  Technique for Service Offloading in Fog computing Environments
μ-DDRL: A QoS-Aware Distributed Deep Reinforcement Learning Technique for Service Offloading in Fog computing Environments
M. Goudarzi
M. A. Rodriguez
Majid Sarvi
Rajkumar Buyya
OffRL
22
1
0
13 Oct 2023
A Survey of Computation Offloading with Task Types
A Survey of Computation Offloading with Task Types
Siqi Zhang
N. Yi
Yi Ma
9
7
0
21 Sep 2023
PoCL-R: An Open Standard Based Offloading Layer for Heterogeneous
  Multi-Access Edge Computing with Server Side Scalability
PoCL-R: An Open Standard Based Offloading Layer for Heterogeneous Multi-Access Edge Computing with Server Side Scalability
Jan Solanti
Michal Babej
Julius Ikkala
Pekka Jääskeläinen
13
0
0
01 Sep 2023
Artificial Intelligence for Web 3.0: A Comprehensive Survey
Artificial Intelligence for Web 3.0: A Comprehensive Survey
Meng Shen
Zhehui Tan
Dusit Niyato
Yuzhi Liu
Jiawen Kang
Zehui Xiong
Liehuang Zhu
Wei Wang
Xuemin
X. Shen
34
13
0
17 Aug 2023
Efficient Task Offloading Algorithm for Digital Twin in Edge/Cloud
  Computing Environment
Efficient Task Offloading Algorithm for Digital Twin in Edge/Cloud Computing Environment
Ziru Zhang
Xuling Zhang
Guangzhi Zhu
Yuyang Wang
Pan Hui
22
1
0
12 Jul 2023
GA-DRL: Graph Neural Network-Augmented Deep Reinforcement Learning for
  DAG Task Scheduling over Dynamic Vehicular Clouds
GA-DRL: Graph Neural Network-Augmented Deep Reinforcement Learning for DAG Task Scheduling over Dynamic Vehicular Clouds
Zhang Liu
Lianfeng Huang
Zhibin Gao
Manman Luo
Seyyedali Hosseinalipour
H. Dai
GNN
19
14
0
03 Jul 2023
TFormer: A Transmission-Friendly ViT Model for IoT Devices
TFormer: A Transmission-Friendly ViT Model for IoT Devices
Zhichao Lu
Chuntao Ding
Felix Juefei Xu
Vishnu Boddeti
Shangguang Wang
Yun Yang
23
13
0
15 Feb 2023
A Survey on Intelligent Computation Offloading and Pricing Strategy in
  UAV-Enabled MEC Network: Challenges and Research Directions
A Survey on Intelligent Computation Offloading and Pricing Strategy in UAV-Enabled MEC Network: Challenges and Research Directions
A. Baktayan
I. A. Al-Baltah
43
5
0
22 Aug 2022
Scheduling IoT Applications in Edge and Fog Computing Environments: A
  Taxonomy and Future Directions
Scheduling IoT Applications in Edge and Fog Computing Environments: A Taxonomy and Future Directions
M. Goudarzi
M. Palaniswami
Rajkumar Buyya
23
71
0
26 Apr 2022
A Distributed Deep Reinforcement Learning Technique for Application
  Placement in Edge and Fog Computing Environments
A Distributed Deep Reinforcement Learning Technique for Application Placement in Edge and Fog Computing Environments
M. Goudarzi
M. Palaniswami
Rajkumar Buyya
OffRL
35
85
0
24 Oct 2021
Evaluation of Distributed Databases in Hybrid Clouds and Edge Computing:
  Energy, Bandwidth, and Storage Consumption
Evaluation of Distributed Databases in Hybrid Clouds and Edge Computing: Energy, Bandwidth, and Storage Consumption
Yaser Mansouri
Victor Prokhorenko
Faheem Ullah
Muhammad Ali Babar
30
6
0
15 Sep 2021
Deep Reinforcement Learning-based Methods for Resource Scheduling in
  Cloud Computing: A Review and Future Directions
Deep Reinforcement Learning-based Methods for Resource Scheduling in Cloud Computing: A Review and Future Directions
Guangyao Zhou
Wenhong Tian
Rajkumar Buyya
29
66
0
10 May 2021
FastAdaBelief: Improving Convergence Rate for Belief-based Adaptive
  Optimizers by Exploiting Strong Convexity
FastAdaBelief: Improving Convergence Rate for Belief-based Adaptive Optimizers by Exploiting Strong Convexity
Yangfan Zhou
Kaizhu Huang
Cheng Cheng
Xuguang Wang
Amir Hussain
Xin Liu
ODL
24
9
0
28 Apr 2021
DMRO:A Deep Meta Reinforcement Learning-based Task Offloading Framework
  for Edge-Cloud Computing
DMRO:A Deep Meta Reinforcement Learning-based Task Offloading Framework for Edge-Cloud Computing
Guanjin Qu
Huaming Wu
OffRL
16
177
0
23 Aug 2020
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
466
11,715
0
09 Mar 2017
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