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Heterogeneous Task Offloading and Resource Allocations via Deep
  Recurrent Reinforcement Learning in Partial Observable Multi-Fog Networks

Heterogeneous Task Offloading and Resource Allocations via Deep Recurrent Reinforcement Learning in Partial Observable Multi-Fog Networks

21 July 2020
Jungyeon Baek
Georges Kaddoum
ArXivPDFHTML

Papers citing "Heterogeneous Task Offloading and Resource Allocations via Deep Recurrent Reinforcement Learning in Partial Observable Multi-Fog Networks"

3 / 3 papers shown
Title
Privacy-Aware Load Balancing in Fog Networks: A Reinforcement Learning
  Approach
Privacy-Aware Load Balancing in Fog Networks: A Reinforcement Learning Approach
Maad Ebrahim
A. Hafid
32
4
0
23 Jan 2023
AI Augmented Edge and Fog Computing: Trends and Challenges
AI Augmented Edge and Fog Computing: Trends and Challenges
Shreshth Tuli
Fatemeh Mirhakimi
Samodha Pallewatta
Syed Zawad
G. Casale
B. Javadi
Feng Yan
Rajkumar Buyya
N. Jennings
21
56
0
01 Aug 2022
Power Allocation in Cache-Aided NOMA Systems: Optimization and Deep
  Reinforcement Learning Approaches
Power Allocation in Cache-Aided NOMA Systems: Optimization and Deep Reinforcement Learning Approaches
K. Doan
M. Vaezi
W. Shin
H. Vincent Poor
Hyundong Shin
Tony Q. S. Quek
26
64
0
24 Sep 2019
1