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Deep Reinforcement Learning meets Graph Neural Networks: exploring a
  routing optimization use case

Deep Reinforcement Learning meets Graph Neural Networks: exploring a routing optimization use case

16 October 2019
Paul Almasan
J. Suárez-Varela
Krzysztof Rusek
Pere Barlet-Ros
A. Cabellos-Aparicio
    GNN
    AI4CE
ArXivPDFHTML

Papers citing "Deep Reinforcement Learning meets Graph Neural Networks: exploring a routing optimization use case"

11 / 11 papers shown
Title
Reinforcement Learning for Dynamic Resource Allocation in Optical Networks: Hype or Hope?
Reinforcement Learning for Dynamic Resource Allocation in Optical Networks: Hype or Hope?
Michael Doherty
Robin Matzner
Rasoul Sadeghi
Polina Bayvel
Alejandra Beghelli
62
0
0
18 Feb 2025
Symmetries-enhanced Multi-Agent Reinforcement Learning
Symmetries-enhanced Multi-Agent Reinforcement Learning
N. Bousias
Stefanos Pertigkiozoglou
Kostas Daniilidis
George Pappas
AI4CE
71
0
0
02 Jan 2025
Reinforcement Learning Discovers Efficient Decentralized Graph Path
  Search Strategies
Reinforcement Learning Discovers Efficient Decentralized Graph Path Search Strategies
Alexei Pisacane
Victor-Alexandru Darvariu
Mirco Musolesi
15
0
0
12 Sep 2024
From Images to Connections: Can DQN with GNNs learn the Strategic Game
  of Hex?
From Images to Connections: Can DQN with GNNs learn the Strategic Game of Hex?
Yannik Keller
Jannis Blüml
Gopika Sudhakaran
Kristian Kersting
GNN
11
0
0
22 Nov 2023
LaDe: The First Comprehensive Last-mile Delivery Dataset from Industry
LaDe: The First Comprehensive Last-mile Delivery Dataset from Industry
Lixia Wu
Haomin Wen
Haoyuan Hu
Xiaowei Mao
Yutong Xia
...
Y. Liang
Liuqing Yang
Roger Zimmermann
Youfang Lin
Huaiyu Wan
37
8
0
19 Jun 2023
Multi-Robot Planning on Dynamic Topological Graphs using Mixed-Integer
  Programming
Multi-Robot Planning on Dynamic Topological Graphs using Mixed-Integer Programming
Cora A. Dimmig
Kevin C. Wolfe
Joseph L. Moore
18
7
0
21 Mar 2023
Graph Computing for Financial Crime and Fraud Detection: Trends,
  Challenges and Outlook
Graph Computing for Financial Crime and Fraud Detection: Trends, Challenges and Outlook
Eren Kurshan
Hongda Shen
GNN
17
32
0
02 Mar 2021
Financial Crime & Fraud Detection Using Graph Computing: Application
  Considerations & Outlook
Financial Crime & Fraud Detection Using Graph Computing: Application Considerations & Outlook
Eren Kurshan
Honda Shen
Haojie Yu
GNN
FaML
28
24
0
02 Mar 2021
Relational Deep Reinforcement Learning for Routing in Wireless Networks
Relational Deep Reinforcement Learning for Routing in Wireless Networks
Victoria Manfredi
Alicia P. Wolfe
Bing Wang
X. Zhang
8
7
0
31 Dec 2020
Graph Neural Networks: Taxonomy, Advances and Trends
Graph Neural Networks: Taxonomy, Advances and Trends
Yu Zhou
Haixia Zheng
Xin Huang
Shufeng Hao
Dengao Li
Jumin Zhao
AI4TS
23
113
0
16 Dec 2020
Interaction Networks for Learning about Objects, Relations and Physics
Interaction Networks for Learning about Objects, Relations and Physics
Peter W. Battaglia
Razvan Pascanu
Matthew Lai
Danilo Jimenez Rezende
Koray Kavukcuoglu
AI4CE
OCL
PINN
GNN
255
1,394
0
01 Dec 2016
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