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DeepMPR: Enhancing Opportunistic Routing in Wireless Networks through
  Multi-Agent Deep Reinforcement Learning

DeepMPR: Enhancing Opportunistic Routing in Wireless Networks through Multi-Agent Deep Reinforcement Learning

16 June 2023
Saeed Kaviani
Bo Ryu
Ejaz Ahmed
Deokseong Kim
Jae H. Kim
Carrie Spiker
Blake Harnden
ArXiv (abs)PDFHTML

Papers citing "DeepMPR: Enhancing Opportunistic Routing in Wireless Networks through Multi-Agent Deep Reinforcement Learning"

4 / 4 papers shown
Title
Opportunistic Routing in Wireless Communications via Learnable State-Augmented Policies
Opportunistic Routing in Wireless Communications via Learnable State-Augmented Policies
Sourajit Das
Navid Naderializadeh
Rahul Mangharam
175
0
0
05 Mar 2025
DeepCQ+: Robust and Scalable Routing with Multi-Agent Deep Reinforcement
  Learning for Highly Dynamic Networks
DeepCQ+: Robust and Scalable Routing with Multi-Agent Deep Reinforcement Learning for Highly Dynamic Networks
Saeed Kaviani
Bo Ryu
Ejaz Ahmed
Kevin Larson
Anh-Ngoc Le
Alex Yahja
J. H. Kim
48
9
0
29 Nov 2021
Ray: A Distributed Framework for Emerging AI Applications
Ray: A Distributed Framework for Emerging AI Applications
Philipp Moritz
Robert Nishihara
Stephanie Wang
Alexey Tumanov
Richard Liaw
...
Melih Elibol
Zongheng Yang
William Paul
Michael I. Jordan
Ion Stoica
GNN
102
1,258
0
16 Dec 2017
Proximal Policy Optimization Algorithms
Proximal Policy Optimization Algorithms
John Schulman
Filip Wolski
Prafulla Dhariwal
Alec Radford
Oleg Klimov
OffRL
499
19,065
0
20 Jul 2017
1