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Showing 27 publications by Victor-Alexandru Darvariu

A Graph Reinforcement Learning Framework for Neural Adaptive Large Neighbourhood Search

Johnn S-N, Darvariu V-A, Handl J & Kalcsics J (2024), Computers & Operations Research, 172, 106791

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BibTeX View PDF 
@article{agraphreinforce-2024/12,
  title={A Graph Reinforcement Learning Framework for Neural Adaptive Large Neighbourhood Search},
  author={Johnn S-N, Darvariu V-A, Handl J & Kalcsics J},
  journal={Computers & Operations Research},
  volume={172},
  pages={106791},
  publisher={Elsevier},
  year = "2024"
}

Reinforcement Learning Discovers Efficient Decentralized Graph Path Search Strategies

Pisacane A, Darvariu V-A & Musolesi M (2024)

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BibTeX 
@inproceedings{reinforcementle-2024/11,
  title={Reinforcement Learning Discovers Efficient Decentralized Graph Path Search Strategies},
  author={Pisacane A, Darvariu V-A & Musolesi M},
  booktitle={Third Learning on Graphs Conference (LoG 2024)},
  year = "2024"
}

Reinforcement Learning Discovers Efficient Decentralized Graph Path Search Strategies

Pisacane A, Darvariu V-A & Musolesi M (2024)

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BibTeX 
@misc{reinforcementle-2024/9,
  title={Reinforcement Learning Discovers Efficient Decentralized Graph Path
  Search Strategies},
  author={Pisacane A, Darvariu V-A & Musolesi M},
  year = "2024"
}

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

Staffolani A, Darvariu V-A, Foschini L, Girolami M, Bellavista P et al. (2024), IEEE Transactions on Network and Service Management, 21(4), 3933-3944

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BibTeX View PDF 
@article{prorlproactiver-2024/8,
  title={PRORL: Proactive Resource Orchestrator for Open RANs Using Deep Reinforcement Learning},
  author={Staffolani A, Darvariu V-A, Foschini L, Girolami M, Bellavista P et al.},
  journal={IEEE Transactions on Network and Service Management},
  volume={21},
  pages={3933-3944},
  publisher={Institute of Electrical and Electronics Engineers (IEEE)},
  year = "2024"
}

Large Language Models are Effective Priors for Causal Graph Discovery

Darvariu V-A, Hailes S & Musolesi M (2024)

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BibTeX 
@misc{largelanguagemo-2024/5,
  title={Large Language Models are Effective Priors for Causal Graph Discovery},
  author={Darvariu V-A, Hailes S & Musolesi M},
  year = "2024"
}

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

Darvariu V-A, Hailes S & Musolesi M (2024)

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BibTeX 
@misc{graphreinforcem-2024/4,
  title={Graph Reinforcement Learning for Combinatorial Optimization: A Survey
  and Unifying Perspective},
  author={Darvariu V-A, Hailes S & Musolesi M},
  year = "2024"
}

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

Darvariu VA, Hailes S & Musolesi M (2024), Transactions on Machine Learning Research, 2024

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BibTeX 
@article{graphreinforcem-2024/1,
  title={Graph Reinforcement Learning for Combinatorial Optimization: A Survey and Unifying Perspective},
  author={Darvariu VA, Hailes S & Musolesi M},
  journal={Transactions on Machine Learning Research},
  volume={2024},
  year = "2024"
}

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

Darvariu V-A, Hailes S & Musolesi M (2023)

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BibTeX 
@misc{treesearchindag-2023/10,
  title={Tree Search in DAG Space with Model-based Reinforcement Learning for
  Causal Discovery},
  author={Darvariu V-A, Hailes S & Musolesi M},
  year = "2023"
}

Graph Reinforcement Learning for Operator Selection in the ALNS Metaheuristic

Johnn S-N, Darvariu V-A, Handl J & Kalcsics J (2023)

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BibTeX 
@misc{graphreinforcem-2023/2,
  title={Graph Reinforcement Learning for Operator Selection in the ALNS
  Metaheuristic},
  author={Johnn S-N, Darvariu V-A, Handl J & Kalcsics J},
  year = "2023"
}

Planning spatial networks with Monte Carlo tree search

Darvariu V-A, Hailes S & Musolesi M (2023), Proceedings of the Royal Society A, 479(2269), 20220383

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@article{planningspatial-2023/1,
  title={Planning spatial networks with Monte Carlo tree search},
  author={Darvariu V-A, Hailes S & Musolesi M},
  journal={Proceedings of the Royal Society A},
  volume={479},
  pages={20220383},
  publisher={The Royal Society},
  year = "2023"
}

GRAPH Reinforcement Learning for Operator Selection in the ALNS Metaheuristic

Johnn S-N, Darvariu V-A, Handl J & Kalcsics J (2023), Communications in Computer and Information Science, 1824, 200-212

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BibTeX View PDF 
@inproceedings{graphreinforcem-2023/,
  title={GRAPH Reinforcement Learning for Operator Selection in the ALNS Metaheuristic},
  author={Johnn S-N, Darvariu V-A, Handl J & Kalcsics J},
  pages={200-212},
  year = "2023"
}

Graph Neural Modeling of Network Flows

Darvariu V-A, Hailes S & Musolesi M (2022)

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BibTeX 
@misc{graphneuralmode-2022/9,
  title={Graph Neural Modeling of Network Flows},
  author={Darvariu V-A, Hailes S & Musolesi M},
  year = "2022"
}

Trust-based Consensus in Multi-Agent Reinforcement Learning Systems

Fung HL, Darvariu V-A, Hailes S & Musolesi M (2022)

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BibTeX 
@misc{trustbasedconse-2022/5,
  title={Trust-based Consensus in Multi-Agent Reinforcement Learning Systems},
  author={Fung HL, Darvariu V-A, Hailes S & Musolesi M},
  year = "2022"
}

Dynamic Network Reconfiguration for Entropy Maximization using Deep Reinforcement Learning

Doorman C, Darvariu V-A, Hailes S & Musolesi M (2022)

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BibTeX 
@misc{dynamicnetworkr-2022/5,
  title={Dynamic Network Reconfiguration for Entropy Maximization using Deep
  Reinforcement Learning},
  author={Doorman C, Darvariu V-A, Hailes S & Musolesi M},
  year = "2022"
}

Dynamic Network Reconfiguration for Entropy Maximization using Deep Reinforcement Learning

Doorman C, Darvariu VA, Hailes S & Musolesi M (2022), Proceedings of Machine Learning Research, 198

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BibTeX 
@inproceedings{dynamicnetworkr-2022/1,
  title={Dynamic Network Reconfiguration for Entropy Maximization using Deep Reinforcement Learning},
  author={Doorman C, Darvariu VA, Hailes S & Musolesi M},
  year = "2022"
}

Goal-directed graph construction using reinforcement learning

Darvariu V-A, Hailes S & Musolesi M (2021), Proceedings of the Royal Society A, 477(2254), 20210168

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BibTeX View PDF 
@article{goaldirectedgra-2021/10,
  title={Goal-directed graph construction using reinforcement learning},
  author={Darvariu V-A, Hailes S & Musolesi M},
  journal={Proceedings of the Royal Society A},
  volume={477},
  pages={20210168},
  publisher={The Royal Society},
  year = "2021"
}

Reinforcement Learning on Encrypted Data

Jesu A, Darvariu V-A, Staffolani A, Montanari R & Musolesi M (2021)

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BibTeX 
@misc{reinforcementle-2021/9,
  title={Reinforcement Learning on Encrypted Data},
  author={Jesu A, Darvariu V-A, Staffolani A, Montanari R & Musolesi M},
  year = "2021"
}

Planning Spatial Networks with Monte Carlo Tree Search

Darvariu V-A, Hailes S & Musolesi M (2021)

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BibTeX 
@misc{planningspatial-2021/6,
  title={Planning Spatial Networks with Monte Carlo Tree Search},
  author={Darvariu V-A, Hailes S & Musolesi M},
  year = "2021"
}

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

Darvariu V-A, Hailes S & Musolesi M (2021)

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BibTeX 
@misc{solvinggraphbas-2021/6,
  title={Solving Graph-based Public Good Games with Tree Search and Imitation
  Learning},
  author={Darvariu V-A, Hailes S & Musolesi M},
  year = "2021"
}

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

Darvariu VA, Hailes S & Musolesi M (2021), Advances in Neural Information Processing Systems, 3, 1739-1751

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BibTeX 
@inproceedings{solvinggraphbas-2021/1,
  title={Solving Graph-based Public Good Games with Tree Search and Imitation Learning},
  author={Darvariu VA, Hailes S & Musolesi M},
  pages={1739-1751},
  year = "2021"
}

Quantifying the Relationships between Everyday Objects and Emotional States through Deep Learning Based Image Analysis Using Smartphones

Darvariu V-A, Convertino L, Mehrotra A & Musolesi M (2020), Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies, 4(1), 1-21

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BibTeX View PDF 
@article{quantifyingther-2020/3,
  title={Quantifying the Relationships between Everyday Objects and Emotional States through Deep Learning Based Image Analysis Using Smartphones},
  author={Darvariu V-A, Convertino L, Mehrotra A & Musolesi M},
  journal={Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies},
  volume={4},
  pages={1-21},
  publisher={Association for Computing Machinery (ACM)},
  year = "2020"
}

Goal-directed graph construction using reinforcement learning

Darvariu V-A, Hailes S & Musolesi M (2020)

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BibTeX 
@misc{goaldirectedgra-2020/1,
  title={Goal-directed graph construction using reinforcement learning},
  author={Darvariu V-A, Hailes S & Musolesi M},
  year = "2020"
}

A Functional Perspective on Machine Learning via Programmable Induction and Abduction

Cheung S, Darvariu V, Ghica DR, Muroya K & Rowe RNS (2018), Lecture Notes in Computer Science, 10818, 84-98

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@inproceedings{afunctionalpers-2018/,
  title={A Functional Perspective on Machine Learning via Programmable Induction and Abduction},
  author={Cheung S, Darvariu V, Ghica DR, Muroya K & Rowe RNS},
  pages={84-98},
  year = "2018"
}

RLQ: Workload Allocation With Reinforcement Learning in Distributed Queues

Staffolani A, Darvariu V-A, Bellavista P & Musolesi M (0), IEEE Transactions on Parallel and Distributed Systems, 34(3), 856-868

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@article{rlqworkloadallo-/,
  title={RLQ: Workload Allocation With Reinforcement Learning in Distributed Queues},
  author={Staffolani A, Darvariu V-A, Bellavista P & Musolesi M},
  journal={IEEE Transactions on Parallel and Distributed Systems},
  volume={34},
  pages={856-868},
  publisher={Institute of Electrical and Electronics Engineers (IEEE)}
}

Tree search in DAG space with model-based reinforcement learning for causal discovery

Darvariu V-A, Hailes S & Musolesi M (0), Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences

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BibTeX 
@article{treesearchindag-/,
  title={Tree search in DAG space with model-based reinforcement learning for causal discovery},
  author={Darvariu V-A, Hailes S & Musolesi M},
  journal={Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences},
  publisher={Royal Society, The}
}

Trust-based Consensus in Multi-Agent Reinforcement Learning Systems

Fung HL, DARVARIU V-A, Hailes S & Musolesi M (0)

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BibTeX 
@inproceedings{trustbasedconse-/,
  title={Trust-based Consensus in Multi-Agent Reinforcement Learning Systems},
  author={Fung HL, DARVARIU V-A, Hailes S & Musolesi M},
  booktitle={First Reinforcement Learning Conference (RLC 2024)}
}

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

Staffolani A, Darvariu V-A, Bellavista P & Musolesi M (0), IEEE Transactions on Intelligent Transportation Systems, PP(99), 1-11

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@article{acostawareadapt-/,
  title={A Cost-Aware Adaptive Bike Repositioning Agent Using Deep Reinforcement Learning},
  author={Staffolani A, Darvariu V-A, Bellavista P & Musolesi M},
  journal={IEEE Transactions on Intelligent Transportation Systems},
  volume={PP},
  pages={1-11},
  publisher={Institute of Electrical and Electronics Engineers (IEEE)}
}