Solving Graph-based Public Good Games with Tree Search and Imitation Learning
Darvariu, V Hailes, S Musolesi, M Advances in Neural Information Processing Systems volume 3 1739-1751 (01 Jan 2021)
GRAPH Reinforcement Learning for Operator Selection in the ALNS Metaheuristic
Johnn, S Darvariu, V Handl, J Kalcsics, J Communications in Computer and Information Science volume 1824 200-212 (27 May 2023)
Dynamic Network Reconfiguration for Entropy Maximization using Deep Reinforcement Learning
Doorman, C Darvariu, V Hailes, S Musolesi, M Proceedings of Machine Learning Research volume 198 (01 Jan 2022)
RLQ: Workload Allocation With Reinforcement Learning in Distributed Queues
Staffolani, A Darvariu, V Bellavista, P Musolesi, M IEEE Transactions on Parallel and Distributed Systems volume 34 issue 3 856-868 (05 Jan 2023)
PRORL: Proactive Resource Orchestrator for Open RANs Using Deep Reinforcement Learning
Staffolani, A Darvariu, V Foschini, L Girolami, M Bellavista, P Foschini, M IEEE Transactions on Network and Service Management volume 21 issue 4 3933-3944 (01 Aug 2024)
Goal-directed graph construction using reinforcement learning
Darvariu, V Hailes, S Musolesi, M Proceedings of the Royal Society A volume 477 issue 2254 20210168 (27 Oct 2021)
Planning spatial networks with Monte Carlo tree search
Darvariu, V Hailes, S Musolesi, M Proceedings of the Royal Society A volume 479 issue 2269 20220383 (11 Jan 2023)
A Graph Reinforcement Learning Framework for Neural Adaptive Large Neighbourhood Search
Johnn, S Darvariu, V Handl, J Kalcsics, J Computers & Operations Research volume 172 106791 (Dec 2024)
Strong and weak random walks on signed networks
Babul, S Tian, Y Lambiotte, R npj Complexity volume 2 issue 1 (03 Feb 2025)
Mean-field approximation for networks with synchrony-driven adaptive coupling
Fennelly, N Neff, A Lambiotte, R Keane, A Byrne, A Chaos, Solitons and Fractals volume 35 (27 Jan 2025)
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