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Goal-directed graph construction using reinforcement learning
v1v2v3v4 (latest)

Goal-directed graph construction using reinforcement learning

Proceedings of the Royal Society A (Proc. R. Soc. A), 2020
30 January 2020
Victor-Alexandru Darvariu
Stephen Hailes
Mirco Musolesi
ArXiv (abs)PDFHTML

Papers citing "Goal-directed graph construction using reinforcement learning"

11 / 11 papers shown
Tackling GNARLy Problems: Graph Neural Algorithmic Reasoning Reimagined through Reinforcement Learning
Tackling GNARLy Problems: Graph Neural Algorithmic Reasoning Reimagined through Reinforcement Learning
Alex Schutz
Victor-Alexandru Darvariu
Efimia Panagiotaki
Bruno Lacerda
Nick Hawes
AI4CE
191
1
0
23 Sep 2025
Discrete Compositional Generation via General Soft Operators and Robust Reinforcement Learning
Discrete Compositional Generation via General Soft Operators and Robust Reinforcement Learning
Marco Jiralerspong
E. Derman
Danilo Vucetic
Nikolay Malkin
Bilun Sun
Tianyu Zhang
Pierre-Luc Bacon
Gauthier Gidel
OffRL
416
1
0
20 Jun 2025
Graph Reinforcement Learning for Combinatorial Optimization: A Survey
  and Unifying Perspective
Graph Reinforcement Learning for Combinatorial Optimization: A Survey and Unifying Perspective
Victor-Alexandru Darvariu
Stephen Hailes
Mirco Musolesi
AI4CE
422
17
0
09 Apr 2024
Tree Search in DAG Space with Model-based Reinforcement Learning for
  Causal Discovery
Tree Search in DAG Space with Model-based Reinforcement Learning for Causal Discovery
Victor-Alexandru Darvariu
Stephen Hailes
Mirco Musolesi
CML
454
3
0
20 Oct 2023
Reinforcement Learning for Generative AI: A Survey
Reinforcement Learning for Generative AI: A Survey
Yuanjiang Cao
Quan.Z Sheng
Julian McAuley
Lina Yao
SyDa
593
27
0
28 Aug 2023
Intrinsically motivated graph exploration using network theories of
  human curiosity
Intrinsically motivated graph exploration using network theories of human curiosityLOG IN (LOG IN), 2023
Shubhankar P. Patankar
Mathieu Ouellet
J. Cerviño
Alejandro Ribeiro
Kieran A. Murphy
Danielle Bassett
318
3
0
11 Jul 2023
SCGG: A Deep Structure-Conditioned Graph Generative Model
SCGG: A Deep Structure-Conditioned Graph Generative ModelPLoS ONE (PLoS ONE), 2022
Faezeh Faez
Negin Hashemi Dijujin
M. Baghshah
Hamid R. Rabiee
GNNBDL
213
7
0
20 Sep 2022
Modelling the Recommender Alignment Problem
Modelling the Recommender Alignment Problem
Francisco Carvalho
124
0
0
25 Aug 2022
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 ApplicationsIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022
Sai Munikoti
D. Agarwal
L. Das
M. Halappanavar
Balasubramaniam Natarajan
GNNOffRLAI4CE
370
123
0
16 Jun 2022
Dynamic Network Reconfiguration for Entropy Maximization using Deep
  Reinforcement Learning
Dynamic Network Reconfiguration for Entropy Maximization using Deep Reinforcement LearningLOG IN (LOG IN), 2022
C. Doorman
Victor-Alexandru Darvariu
Stephen Hailes
Mirco Musolesi
199
3
0
26 May 2022
Planning Spatial Networks with Monte Carlo Tree Search
Planning Spatial Networks with Monte Carlo Tree SearchProceedings of the Royal Society A (Proc. R. Soc. A), 2021
Victor-Alexandru Darvariu
Stephen Hailes
Mirco Musolesi
279
9
0
12 Jun 2021
1
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