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Challenges and Opportunities in Deep Reinforcement Learning with Graph
  Neural Networks: A Comprehensive review of Algorithms and Applications

Challenges and Opportunities in Deep Reinforcement Learning with Graph Neural Networks: A Comprehensive review of Algorithms and Applications

16 June 2022
Sai Munikoti
D. Agarwal
L. Das
M. Halappanavar
Balasubramaniam Natarajan
    GNN
    OffRL
    AI4CE
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Papers citing "Challenges and Opportunities in Deep Reinforcement Learning with Graph Neural Networks: A Comprehensive review of Algorithms and Applications"

11 / 11 papers shown
Title
Enhancing Trust Management System for Connected Autonomous Vehicles Using Machine Learning Methods: A Survey
Enhancing Trust Management System for Connected Autonomous Vehicles Using Machine Learning Methods: A Survey
Qian Xu
Lei Zhang
Y. Liu
29
0
0
10 May 2025
A Graph-Based Reinforcement Learning Approach with Frontier Potential Based Reward for Safe Cluttered Environment Exploration
A Graph-Based Reinforcement Learning Approach with Frontier Potential Based Reward for Safe Cluttered Environment Exploration
Gabriele Calzolari
Vidya Sumathy
Christoforos Kanellakis
G. Nikolakopoulos
106
0
0
16 Apr 2025
Graph Neural Networks and Reinforcement Learning for Proactive
  Application Image Placement
Graph Neural Networks and Reinforcement Learning for Proactive Application Image Placement
Antonios Makris
Theodoros Theodoropoulos
E. Psomakelis
Emanuele Carlini
Matteo Mordacchini
Patrizio Dazzi
Konstantinos Tserpes
GNN
23
0
0
23 Apr 2024
Physics-Informed Multi-Agent Reinforcement Learning for Distributed Multi-Robot Problems
Physics-Informed Multi-Agent Reinforcement Learning for Distributed Multi-Robot Problems
Eduardo Sebastián
T. Duong
Nikolay A. Atanasov
Eduardo Montijano
C. Sagüés
20
2
0
30 Dec 2023
Proximal Policy Optimization with Graph Neural Networks for Optimal Power Flow
Proximal Policy Optimization with Graph Neural Networks for Optimal Power Flow
Ángela López-Cardona
Guillermo Bernárdez
Pere Barlet-Ros
A. Cabellos-Aparicio
31
4
0
23 Dec 2022
De novo design of protein target specific scaffold-based Inhibitors via
  Reinforcement Learning
De novo design of protein target specific scaffold-based Inhibitors via Reinforcement Learning
Andrew D. McNaughton
Mridula Bontha
C. Knutson
Jenna A. Pope
Neeraj Kumar
AI4CE
31
4
0
21 May 2022
A Survey on Knowledge Graphs: Representation, Acquisition and
  Applications
A Survey on Knowledge Graphs: Representation, Acquisition and Applications
Shaoxiong Ji
Shirui Pan
Erik Cambria
Pekka Marttinen
Philip S. Yu
177
1,939
0
02 Feb 2020
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
Paul Almasan
J. Suárez-Varela
Krzysztof Rusek
Pere Barlet-Ros
A. Cabellos-Aparicio
GNN
AI4CE
48
183
0
16 Oct 2019
Auto-GNN: Neural Architecture Search of Graph Neural Networks
Auto-GNN: Neural Architecture Search of Graph Neural Networks
Kaixiong Zhou
Qingquan Song
Xiao Huang
Xia Hu
GNN
56
178
0
07 Sep 2019
Motion Planning Among Dynamic, Decision-Making Agents with Deep
  Reinforcement Learning
Motion Planning Among Dynamic, Decision-Making Agents with Deep Reinforcement Learning
Michael Everett
Yu Fan Chen
Jonathan P. How
133
509
0
04 May 2018
Convolutional Neural Network Architectures for Signals Supported on
  Graphs
Convolutional Neural Network Architectures for Signals Supported on Graphs
Fernando Gama
A. Marques
G. Leus
Alejandro Ribeiro
124
285
0
01 May 2018
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