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2023

Tree Search in DAG Space with Model-based Reinforcement Learning for Causal Discovery

Victor-Alexandru Darvariu, Stephen Hailes, and Mirco Musolesi.

Under submission. Pre-print available on arXiv:2310.13576.

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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.

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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.

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Victor-Alexandru Darvariu, Stephen Hailes, and Mirco Musolesi.

Proceedings of the Royal Society A 479(2269): 20220383, 2023.

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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).

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Graph Neural Modeling of Network Flows

Victor-Alexandru Darvariu, Stephen Hailes, and Mirco Musolesi.

Under submission. Pre-print available on arXiv:2209.05208.

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Trust-based Consensus in Multi-Agent Reinforcement Learning Systems

Ho Long Fung, Victor-Alexandru Darvariu, Stephen Hailes, and Mirco Musolesi.

Under submission. Pre-print available on arXiv:2205.12880.

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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".

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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).

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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.

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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.

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