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2025
Tree search in DAG space with model-based reinforcement learning for causal discovery
Victor-Alexandru Darvariu, Stephen Hailes, and Mirco Musolesi.
Proceedings of the Royal Society A 481(2312): 20240450, 2025.
[PDF] [BibTeX] [Code]A Cost-Aware Adaptive Bike Repositioning Agent Using Deep Reinforcement Learning
Alessandro Staffolani, Victor-Alexandru Darvariu, Paolo Bellavista, and Mirco Musolesi.
IEEE Transactions on Intelligent Transportation Systems, 2025.
[PDF] [Published Version] [BibTeX] [Code] [Data]2024
Reinforcement Learning Discovers Efficient Decentralized Graph Path Search Strategies
Alexei Pisacane, Victor-Alexandru Darvariu, and Mirco Musolesi.
In Proceedings of the Third Learning on Graphs Conference (LoG 2024), PMLR 269.
[PDF] [BibTeX] [Code]Graph Reinforcement Learning for Combinatorial Optimization: A Survey and Unifying Perspective
Victor-Alexandru Darvariu, Stephen Hailes, and Mirco Musolesi.
Transactions on Machine Learning Research (TMLR). Awarded the Survey Certification.
[PDF] [OpenReview] [BibTeX]A Graph Reinforcement Learning framework for neural Adaptive Large Neighbourhood Search
Syu-Ning Johnn*, Victor-Alexandru Darvariu*, Julia Handl, and Jörg Kalcsics.
Computers & Operations Research, 2024. * denotes equal contribution and joint first authorship.
[PDF] [Published Version] [BibTeX] [Code]Trust-based Consensus in Multi-Agent Reinforcement Learning Systems
Ho Long Fung, Victor-Alexandru Darvariu, Stephen Hailes, and Mirco Musolesi.
Reinforcement Learning Journal, 2024. Presented at the First Reinforcement Learning Conference (RLC 2024).
[PDF] [BibTeX] [Code] [Video]PRORL: Proactive Resource Orchestrator for Open RANs Using Deep Reinforcement Learning
Alessandro Staffolani, Victor-Alexandru Darvariu, Luca Foschini, Michele Girolami, Paolo Bellavista, and Mirco Musolesi.
IEEE Transactions on Network and Service Management 21(4):3933-3944, 2024.
[PDF] [Published Version] [BibTeX] [Code] [Data]Large Language Models are Effective Priors for Causal Graph Discovery
Victor-Alexandru Darvariu, Stephen Hailes, and Mirco Musolesi.
Under submission. Pre-print available on arXiv:2405.13551.
[PDF] [BibTeX]2023
Graph Reinforcement Learning for Operator Selection in the ALNS Metaheuristic
Syu-Ning Johnn*, Victor-Alexandru Darvariu*, Julia Handl, and Jörg Kalcsics.
In Proceedings of the International Conference in Optimization and Learning (OLA2023), Málaga, Spain. * denotes equal contribution and joint first authorship.
[PDF] [Published Version] [BibTeX]RLQ: Workload Allocation With Reinforcement Learning in Distributed Queues
Alessandro Staffolani, Victor-Alexandru Darvariu, Paolo Bellavista, and Mirco Musolesi.
IEEE Transactions on Parallel and Distributed Systems 34(3):856–868, 2023.
[PDF] [Published Version] [BibTeX] [Code]Planning spatial networks with Monte Carlo tree search
Victor-Alexandru Darvariu, Stephen Hailes, and Mirco Musolesi.
Proceedings of the Royal Society A 479(2269): 20220383, 2023.
[PDF] [BibTeX] [Code]2022
Dynamic Network Reconfiguration for Entropy Maximization using Deep Reinforcement Learning
Christoffel Doorman, Victor-Alexandru Darvariu, Stephen Hailes, and Mirco Musolesi.
In Proceedings of the First Learning on Graphs Conference (LoG 2022), PMLR 198.
[PDF] [BibTeX] [Code]Graph Neural Modeling of Network Flows
Victor-Alexandru Darvariu, Stephen Hailes, and Mirco Musolesi.
Under submission. Pre-print available on arXiv:2209.05208.
[PDF] [BibTeX]2021
Goal-directed graph construction using reinforcement learning†
Victor-Alexandru Darvariu, Stephen Hailes, and Mirco Musolesi.
In Proceedings of the Royal Society A 477(2254): 20210168. † A previous version of this article was titled "Improving the Robustness of Graphs through Reinforcement Learning and Graph Neural Networks".
[PDF] [Published Version] [BibTeX] [Code]Solving Graph-based Public Goods Games with Tree Search and Imitation Learning
Victor-Alexandru Darvariu, Stephen Hailes, and Mirco Musolesi.
In Proceedings of 35th Conference on Neural Information Processing Systems (NeurIPS 2021).
[PDF] [BibTeX] [Code]2020
Quantifying the Relationships between Everyday Objects and Emotional States through Deep Learning Based Image Analysis Using Smartphones
Victor-Alexandru Darvariu, Laura Convertino, Abhinav Mehrotra, and Mirco Musolesi.
In Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT). Volume 4. Issue 1. March 2020. Presented in the Research Track of 2020 International Joint Conference on Pervasive and Ubiquitous Computing (ACM UbiComp’20), Online. September 2020.
[PDF] [BibTeX]2018
A Functional Perspective on Machine Learning via Programmable Induction and Abduction
Steven W. T. Cheung, Victor-Alexandru Darvariu, Dan R. Ghica, Koko Muroya, and Reuben N. S. Rowe.
In Proceedings of the Functional and Logic Programming Symposium (FLOPS) 2018, Nagoya, Japan.
[PDF] [BibTeX]