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)