Large Language Models are Effective Priors for Causal Graph Discovery
Darvariu, V
Hailes, S
Musolesi, M
(22 May 2024)
http://arxiv.org/abs/2405.13551v1
Graph Reinforcement Learning for Combinatorial Optimization: A Survey
and Unifying Perspective
Darvariu, V
Hailes, S
Musolesi, M
(09 Apr 2024)
http://arxiv.org/abs/2404.06492v2
and Unifying Perspective
Reinforcement Learning Discovers Efficient Decentralized Graph Path
Search Strategies
Pisacane, A
Darvariu, V
Musolesi, M
(12 Sep 2024)
http://arxiv.org/abs/2409.07932v2
Search Strategies
Tree search in DAG space with model-based reinforcement learning for causal discovery
Darvariu, V
Hailes, S
Musolesi, M
Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences
volume 481
issue 2312
(16 Apr 2025)
Reinforcement learning discovers efficient decentralized graph path search strategies
Pisacane, A
Darvariu, V
Musolesi, M
Proceedings of the Third Learning on Graphs Conference
7:1-7:14
(26 Nov 2024)
A Functional Perspective on Machine Learning via Programmable Induction and Abduction
Cheung, S
Darvariu, V
Ghica, D
Muroya, K
Rowe, R
Lecture Notes in Computer Science
volume 10818
84-98
(24 Apr 2018)
Quantifying the Relationships between Everyday Objects and Emotional States through Deep Learning Based Image Analysis Using Smartphones
Darvariu, V
Convertino, L
Mehrotra, A
Musolesi, M
Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies
volume 4
issue 1
1-21
(18 Mar 2020)
Solving Graph-based Public Good Games with Tree Search and Imitation Learning
Darvariu, V
Hailes, S
Musolesi, M
Advances in Neural Information Processing Systems
volume 3
1739-1751
(01 Jan 2021)
GRAPH Reinforcement Learning for Operator Selection in the ALNS Metaheuristic
Johnn, S
Darvariu, V
Handl, J
Kalcsics, J
Communications in Computer and Information Science
volume 1824
200-212
(27 May 2023)
Dynamic Network Reconfiguration for Entropy Maximization using Deep Reinforcement Learning
Doorman, C
Darvariu, V
Hailes, S
Musolesi, M
Proceedings of Machine Learning Research
volume 198
(01 Jan 2022)