Victor-Alexandru Darvariu

Orcid: 0000-0001-9250-8175

Affiliations:
  • University College London, UK
  • The Alan Turing Institute, UK


According to our database1, Victor-Alexandru Darvariu authored at least 18 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Online presence:

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Bibliography

2024
PRORL: Proactive Resource Orchestrator for Open RANs Using Deep Reinforcement Learning.
IEEE Trans. Netw. Serv. Manag., August, 2024

Reinforcement Learning Discovers Efficient Decentralized Graph Path Search Strategies.
CoRR, 2024

Large Language Models are Effective Priors for Causal Graph Discovery.
CoRR, 2024

Graph Reinforcement Learning for Combinatorial Optimization: A Survey and Unifying Perspective.
CoRR, 2024

A Graph Reinforcement Learning Framework for Neural Adaptive Large Neighbourhood Search.
Comput. Oper. Res., 2024

Trust-based Consensus in Multi-Agent Reinforcement Learning Systems.
RLJ, 2024

2023
RLQ: Workload Allocation With Reinforcement Learning in Distributed Queues.
IEEE Trans. Parallel Distributed Syst., March, 2023

Tree Search in DAG Space with Model-based Reinforcement Learning for Causal Discovery.
CoRR, 2023

GRAPH Reinforcement Learning for Operator Selection in the ALNS Metaheuristic.
Proceedings of the Optimization and Learning - 6th International Conference, 2023

2022
Graph Neural Modeling of Network Flows.
CoRR, 2022

Dynamic Network Reconfiguration for Entropy Maximization Using Deep Reinforcement Learning.
Proceedings of the Learning on Graphs Conference, 2022

2021
Reinforcement Learning on Encrypted Data.
CoRR, 2021

Planning Spatial Networks.
CoRR, 2021

Solving Graph-based Public Good Games with Tree Search and Imitation Learning.
CoRR, 2021

Solving Graph-based Public Goods Games with Tree Search and Imitation Learning.
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.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2020

Improving the Robustness of Graphs through Reinforcement Learning and Graph Neural Networks.
CoRR, 2020

2018
A Functional Perspective on Machine Learning via Programmable Induction and Abduction.
Proceedings of the Functional and Logic Programming - 14th International Symposium, 2018


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