A Functional Perspective on Machine Learning via Programmable Induction and Abduction. - Steven Cheung; Victor Darvariu; Dan R. Ghica; Koko Muroya; Reuben N. S. Rowe (FLOPS, 2018)

Improving the Robustness of Graphs through Reinforcement Learning and Graph Neural Networks. - Victor-Alexandru Darvariu; Stephen Hailes; Mirco Musolesi (CoRR, 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)

Solving Graph-based Public Goods Games with Tree Search and Imitation Learning. - Victor-Alexandru Darvariu; Stephen Hailes; Mirco Musolesi (NeurIPS, 2021)

Solving Graph-based Public Good Games with Tree Search and Imitation Learning. - Victor-Alexandru Darvariu; Stephen Hailes; Mirco Musolesi (CoRR, 2021)

Planning Spatial Networks. - Victor-Alexandru Darvariu; Stephen Hailes; Mirco Musolesi (CoRR, 2021)

Reinforcement Learning on Encrypted Data. - Alberto Jesu; Victor-Alexandru Darvariu; Alessandro Staffolani; Rebecca Montanari; Mirco Musolesi (CoRR, 2021)

Dynamic Network Reconfiguration for Entropy Maximization Using Deep Reinforcement Learning. - Christoffel Doorman; Victor-Alexandru Darvariu; Stephen Hailes; Mirco Musolesi (LoG, 2022)

Graph Neural Modeling of Network Flows. - Victor-Alexandru Darvariu; Stephen Hailes; Mirco Musolesi (CoRR, 2022)

GRAPH Reinforcement Learning for Operator Selection in the ALNS Metaheuristic. - Syu-Ning Johnn; Victor-Alexandru Darvariu; Julia Handl; Jörg Kalcsics (OLA, 2023)

Tree Search in DAG Space with Model-based Reinforcement Learning for Causal Discovery. - Victor-Alexandru Darvariu; Stephen Hailes; Mirco Musolesi (CoRR, 2023)

RLQ: Workload Allocation With Reinforcement Learning in Distributed Queues. - Alessandro Staffolani; Victor-Alexandru Darvariu; Paolo Bellavista; Mirco Musolesi (IEEE Trans. Parallel Distributed Syst., 2023)

Reinforcement Learning Discovers Efficient Decentralized Graph Path Search Strategies. - Alexei Pisacane; Victor-Alexandru Darvariu; Mirco Musolesi (LoG, 2024)

Trust-based Consensus in Multi-Agent Reinforcement Learning Systems. - Ho Long Fung; Victor-Alexandru Darvariu; Stephen Hailes; Mirco Musolesi (RLJ, 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)

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 (Trans. Mach. Learn. Res., 2024)

PRORL: Proactive Resource Orchestrator for Open RANs Using Deep Reinforcement Learning. - Alessandro Staffolani; Victor-Alexandru Darvariu; Luca Foschini 001; Michele Girolami; Paolo Bellavista; Mirco Musolesi (IEEE Trans. Netw. Serv. Manag., 2024)

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., 2025)