| Graph Neural Network Reinforcement Learning for Autonomous Mobility-on-Demand Systems D Gammelli, K Yang, J Harrison, F Rodrigues, FC Pereira, M Pavone IEEE Conference on Decision and Control (CDC), 2021 | 60 | 2021 |
| Considering patient clinical history impacts performance of machine learning models in predicting course of multiple sclerosis R Seccia, D Gammelli, F Dominici, S Romano, AC Landi, M Salvetti, ... PloS one 15 (3), e0230219, 2020 | 54 | 2020 |
| Estimating Latent Demand of Shared Mobility through Censored Gaussian Processes D Gammelli, I Peled, F Rodrigues, D Pacino, HA Kurtaran, FC Pereira Transportation Research Part C: Emerging Technologies 120, 2020 | 51 | 2020 |
| Predictive and Prescriptive Performance of Bike-Sharing Demand Forecasts for Inventory Management D Gammelli, Y Wang, D Prak, F Rodrigues, S Minner, FC Pereira Transportation Research Part C: Emerging Technologies, 2021 | 36 | 2021 |
| Graph Meta-Reinforcement Learning for Transferable Autonomous Mobility-on-Demand D Gammelli, K Yang, J Harrison, F Rodrigues, F Pereira, C., M Pavone ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2022 | 21 | 2022 |
| Generalized Multi-Output Gaussian Process Censored Regression D Gammelli, K Pryds Rolsted, D Pacino, R Filipe Pattern Recognition 129, 2020 | 15 | 2020 |
| Recurrent Flow Networks: A Recurrent Latent Variable Model for Spatio-Temporal Density Modelling D Gammelli, F Rodrigues Pattern Recognition, 2020 | 10* | 2020 |
| Transformers for Trajectory Optimization with Application to Spacecraft Rendezvous T Guffanti, D Gammelli, S D'Amico, M Pavone IEEE Aerospace Conference, 2023 | 5 | 2023 |
| Learning to control autonomous fleets from observation via offline reinforcement learning C Schmidt, D Gammelli, FC Pereira, F Rodrigues 2024 European Control Conference (ECC), 1399-1406, 2024 | 3 | 2024 |
| Graph Reinforcement Learning for Network Control via Bi-Level Optimization D Gammelli, J Harrison, K Yang, M Pavone, F Rodrigues, FC Pereira International Conference on Machine Learning (ICML), 2023 | 3 | 2023 |
| A Machine Learning Approach to Censored Bike-Sharing Demand Modeling D Gammelli, F Rodrigues, D Pacino, HA Kurtaran, FC Pereira Transportation Research Board. Annual Meeting Proceedings 2020, 2020 | 3 | 2020 |
| Transformer-based Model Predictive Control: Trajectory Optimization via Sequence Modeling D Celestini, D Gammelli, T Guffanti, S D'Amico, E Capello, M Pavone IEEE Robotics and Automation Letters, 2024 | | 2024 |
| Adapting a Foundation Model for Space-based Tasks M Foutter, P Bhoj, R Sinha, A Elhafsi, S Banerjee, C Agia, J Kruger, ... arXiv preprint arXiv:2408.05924, 2024 | | 2024 |
| Real-time Control of Electric Autonomous Mobility-on-Demand Systems via Graph Reinforcement Learning A Singhal, D Gammelli, J Luke, K Gopalakrishnan, D Helmreich, ... 2024 European Control Conference (ECC), 1407-1414, 2024 | | 2024 |
| Reinforcement Learning for Autonomous Mobility-on-Demand Systems: Udvidet resumé D Gammelli, K Yang, J Harrison, F Rodrigues, FC Pereira, M Pavone Proceedings from the Annual Transport Conference at Aalborg University 29, 2022 | | 2022 |
| Learning and Control for Adaptive Transportation Systems D Gammelli Technical University of Denmark, 2022 | | 2022 |
| Modeling Transport Data Under Stochastic and Latent Censorship I Peled, D Gammelli, F Rodrigues, D Pacino, FC Pereira | | 2020 |
| Benchmarking Reinforcement Learning for Network-level Coordination of Autonomous Mobility-on-Demand Systems Across Scales L Tresca, D Gammelli, J Harrison, G Zardini, M Pavone | | |
| Learning Joint Rebalancing and Dynamic Pricing Policies for Autonomous Mobility-on-Demand Systems X Li, C Schmidt, D Gammelli, F Rodrigues Available at SSRN 4798020, 0 | | |
Filipe RodriguesTechnical University of Denmark (DTU)Email verificata su dtu.dk
