Victor-Alexandru Darvariu

According to our database, Victor-Alexandru Darvariu authored at least 18 papers between 2018 and 2024.

Collaborative distances:

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

2024

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

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

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

Reinforcement Learning Discovers Efficient Decentralized Graph Path Search Strategies.

Alexei Pisacane, Victor-Alexandru Darvariu, Mirco Musolesi

CoRR, 2024

Large Language Models are Effective Priors for Causal Graph Discovery.

Victor-Alexandru Darvariu, Stephen Hailes, Mirco Musolesi

CoRR, 2024

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

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

Proceedings of the 1st Reinforcement Learning Conference, 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