Victor-Alexandru Darvariu

According to our database, Victor-Alexandru Darvariu authored at least 25 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Quantile-Coupled Flow Matching for Distributional Reinforcement Learning.

Michael Groom, Victor-Alexandru Darvariu, Lars Kunze, James Wilson, Nick Hawes

CoRR, May, 2026

Online Navigation Planning for Long-term Autonomous Operation of Underwater Gliders.

Victor-Alexandru Darvariu, Charlotte Z. Reed, Jan Stratmann, Bruno Lacerda, Benjamin Allsup, Stephen Woodward, Elizabeth Siddle, Trishna Saeharaseelan, Owain Jones, Dan Jones, Tobias Ferreira, Chloe Baker, Kevin Chaplin, James Kirk, Ashley Morris, Ryan Patmore, Jeff Polton, Charlotte Williams, Alexandra Kokkinaki, Alvaro Lorenzo-Lopez, Justin J. H. Buck, Nick Hawes

CoRR, February, 2026

2025

Gaussian Process Aggregation for Root-Parallel Monte Carlo Tree Search with Continuous Actions.

Junlin Xiao, Victor-Alexandru Darvariu, Bruno Lacerda, Nick Hawes

CoRR, December, 2025

JaxWildfire: A GPU-Accelerated Wildfire Simulator for Reinforcement Learning.

Ufuk Çakir, Victor-Alexandru Darvariu, Bruno Lacerda, Nick Hawes

CoRR, December, 2025

Tackling GNARLy Problems: Graph Neural Algorithmic Reasoning Reimagined through Reinforcement Learning.

Alex Schutz, Victor-Alexandru Darvariu, Efimia Panagiotaki, Bruno Lacerda, Nick Hawes

CoRR, September, 2025

Accelerating Atomic Fine Structure Determination with Graph Reinforcement Learning.

Milan Ding, Victor-Alexandru Darvariu, Alexander N. Ryabtsev, Nick Hawes, Juliet C. Pickering

CoRR, September, 2025

A Cost-Aware Adaptive Bike Repositioning Agent Using Deep Reinforcement Learning.

Alessandro Staffolani, Victor-Alexandru Darvariu, Paolo Bellavista, Mirco Musolesi

IEEE Trans. Intell. Transp. Syst., April, 2025

2024

PRORL: Proactive Resource Orchestrator for Open RANs Using Deep Reinforcement Learning.

Alessandro Staffolani, Victor-Alexandru Darvariu, Luca Foschini, Michele Girolami, Paolo Bellavista, Mirco Musolesi

IEEE Trans. Netw. Serv. Manag., August, 2024

Graph Reinforcement Learning for Combinatorial Optimization: A Survey and Unifying Perspective.

Victor-Alexandru Darvariu, Stephen Hailes, Mirco Musolesi

Trans. Mach. Learn. Res., 2024

Large Language Models are Effective Priors for Causal Graph Discovery.

Victor-Alexandru Darvariu, Stephen Hailes, Mirco Musolesi

CoRR, 2024

A Graph Reinforcement Learning Framework for Neural Adaptive Large Neighbourhood Search.

Syu-Ning Johnn, Victor-Alexandru Darvariu, Julia Handl, Jörg Kalcsics

Comput. Oper. Res., 2024

Trust-based Consensus in Multi-Agent Reinforcement Learning Systems.

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

RLJ, 2024

Reinforcement Learning Discovers Efficient Decentralized Graph Path Search Strategies.

Alexei Pisacane, Victor-Alexandru Darvariu, Mirco Musolesi

Proceedings of the Learning on Graphs Conference, 26-29 November 2024, Virtual., 2024

2023

RLQ: Workload Allocation With Reinforcement Learning in Distributed Queues.

Alessandro Staffolani, Victor-Alexandru Darvariu, Paolo Bellavista, Mirco Musolesi

IEEE Trans. Parallel Distributed Syst., March, 2023

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

Victor-Alexandru Darvariu, Stephen Hailes, Mirco Musolesi

CoRR, 2023

GRAPH Reinforcement Learning for Operator Selection in the ALNS Metaheuristic.

Syu-Ning Johnn, Victor-Alexandru Darvariu, Julia Handl, Jörg Kalcsics

Proceedings of the Optimization and Learning - 6th International Conference, 2023

2022

Graph Neural Modeling of Network Flows.

Victor-Alexandru Darvariu, Stephen Hailes, Mirco Musolesi

CoRR, 2022

Dynamic Network Reconfiguration for Entropy Maximization Using Deep Reinforcement Learning.

Christoffel Doorman, Victor-Alexandru Darvariu, Stephen Hailes, Mirco Musolesi

Proceedings of the Learning on Graphs Conference, 2022

2021

Reinforcement Learning on Encrypted Data.

Alberto Jesu, Victor-Alexandru Darvariu, Alessandro Staffolani, Rebecca Montanari, Mirco Musolesi

CoRR, 2021

Planning Spatial Networks.

Victor-Alexandru Darvariu, Stephen Hailes, Mirco Musolesi

CoRR, 2021

Solving Graph-based Public Good Games with Tree Search and Imitation Learning.

Victor-Alexandru Darvariu, Stephen Hailes, Mirco Musolesi

CoRR, 2021

Solving Graph-based Public Goods Games with Tree Search and Imitation Learning.

Victor-Alexandru Darvariu, Stephen Hailes, Mirco Musolesi

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

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, Mirco Musolesi

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2020

Improving the Robustness of Graphs through Reinforcement Learning and Graph Neural Networks.

Victor-Alexandru Darvariu, Stephen Hailes, Mirco Musolesi

CoRR, 2020

2018

A Functional Perspective on Machine Learning via Programmable Induction and Abduction.

Steven Cheung, Victor Darvariu, Dan R. Ghica, Koko Muroya, Reuben N. S. Rowe

Proceedings of the Functional and Logic Programming - 14th International Symposium, 2018