Quantifying the relationships between everyday objects and emotional states through deep learning based image analysis using smartphones VA Darvariu, L Convertino, A Mehrotra, M Musolesi Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2020 | 26 | 2020 |
Goal-directed graph construction using reinforcement learning VA Darvariu, S Hailes, M Musolesi Proceedings of the Royal Society A 477 (2254), 20210168, 2021 | 16 | 2021 |
A functional perspective on machine learning via programmable induction and abduction S Cheung, V Darvariu, DR Ghica, K Muroya, RNS Rowe Functional and Logic Programming: 14th International Symposium, FLOPS 2018 …, 2018 | 14 | 2018 |
Planning spatial networks with Monte Carlo tree search VA Darvariu, S Hailes, M Musolesi Proceedings of the Royal Society A 479 (2269), 20220383, 2023 | 9 | 2023 |
RLQ: Workload allocation with reinforcement learning in distributed queues A Staffolani, VA Darvariu, P Bellavista, M Musolesi IEEE Transactions on Parallel and Distributed Systems 34 (3), 856-868, 2023 | 7 | 2023 |
Solving Graph-based Public Goods Games with Tree Search and Imitation Learning VA Darvariu, S Hailes, M Musolesi Advances in Neural Information Processing Systems 34, 2021 | 7 | 2021 |
Graph reinforcement learning for operator selection in the ALNS metaheuristic SN Johnn, VA Darvariu, J Handl, J Kalcsics International Conference on Optimization and Learning, 200-212, 2023 | 4 | 2023 |
Trust-based consensus in multi-agent reinforcement learning systems HL Fung, VA Darvariu, S Hailes, M Musolesi arXiv preprint arXiv:2205.12880, 2022 | 4 | 2022 |
Reinforcement Learning on Encrypted Data A Jesu, VA Darvariu, A Staffolani, R Montanari, M Musolesi arXiv preprint arXiv:2109.08236, 2021 | 3 | 2021 |
Graph Reinforcement Learning for Combinatorial Optimization: A Survey and Unifying Perspective VA Darvariu, S Hailes, M Musolesi Transactions on Machine Learning Research (TMLR), 2024 | 2 | 2024 |
Tree search in DAG space with model-based reinforcement learning for causal discovery VA Darvariu, S Hailes, M Musolesi arXiv preprint arXiv:2310.13576, 2023 | 2 | 2023 |
Dynamic Network Reconfiguration for Entropy Maximization using Deep Reinforcement Learning C Doorman, VA Darvariu, S Hailes, M Musolesi Proceedings of the First Learning on Graphs Conference, PMLR 198, 2022 | 2 | 2022 |
Graph Neural Modeling of Network Flows VA Darvariu, S Hailes, M Musolesi arXiv preprint arXiv:2209.05208, 2022 | 2 | 2022 |
A Graph Reinforcement Learning Framework for Neural Adaptive Large Neighbourhood Search SN Johnn, VA Darvariu, J Handl, J Kalcsics Computers & Operations Research 172, 106791, 2024 | 1 | 2024 |
Large Language Models are Effective Priors for Causal Graph Discovery VA Darvariu, S Hailes, M Musolesi arXiv preprint arXiv:2405.13551, 2024 | 1 | 2024 |
Reinforcement Learning Discovers Efficient Decentralized Graph Path Search Strategies A Pisacane, VA Darvariu, M Musolesi arXiv preprint arXiv:2409.07932, 2024 | | 2024 |
PRORL: Proactive Resource Orchestrator for Open RANs Using Deep Reinforcement Learning A Staffolani, VA Darvariu, L Foschini, M Girolami, P Bellavista, M Musolesi IEEE Transactions on Network and Service Management, 2024 | | 2024 |
Supplementary Material for Planning Spatial Networks with Monte Carlo Tree Search VA Darvariu, S Hailes, M Musolesi | | |
Reinforcement learning over encrypted data M Musolesi, R Montanari, A Staffolani, VA Darvariu, A Jesu | | |
A Reinforcement Learning Agent for Distributed Task Allocation P BELLAVISTA, M MUSOLESI, V DARVARIU | | |