Estimating Latent Demand of Shared Mobility through Censored Gaussian Processes. - Daniele Gammelli; Inon Peled; Filipe Rodrigues 001; Dario Pacino; Haci A. Kurtaran; Francisco C. Pereira (CoRR, 2020)

Recurrent Flow Networks: A Recurrent Latent Variable Model for Spatio-Temporal Density Modelling. - Daniele Gammelli; Filipe Rodrigues 001 (CoRR, 2020)

Graph Neural Network Reinforcement Learning for Autonomous Mobility-on-Demand Systems. - Daniele Gammelli; Kaidi Yang; James Harrison; Filipe Rodrigues 001; Francisco C. Pereira; Marco Pavone 001 (CDC, 2021)

Predictive and Prescriptive Performance of Bike-Sharing Demand Forecasts for Inventory Management. - Daniele Gammelli; Yihua Wang; Dennis Prak; Filipe Rodrigues 001; Stefan Minner; Francisco Câmara Pereira (CoRR, 2021)

Graph Meta-Reinforcement Learning for Transferable Autonomous Mobility-on-Demand. - Daniele Gammelli; Kaidi Yang; James Harrison; Filipe Rodrigues 001; Francisco C. Pereira; Marco Pavone 001 (KDD, 2022)

Recurrent flow networks: A recurrent latent variable model for density estimation of urban mobility. - Daniele Gammelli; Filipe Rodrigues 001 (Pattern Recognit., 2022)

Generalized multi-output Gaussian process censored regression. - Daniele Gammelli; Kasper Pryds Rolsted; Dario Pacino; Filipe Rodrigues 001 (Pattern Recognit., 2022)

Graph Reinforcement Learning for Network Control via Bi-Level Optimization. - Daniele Gammelli; James Harrison; Kaidi Yang; Marco Pavone 001; Filipe Rodrigues 001; Francisco C. Pereira (ICML, 2023)

Transformers for Trajectory Optimization with Application to Spacecraft Rendezvous. - Tommaso Guffanti; Daniele Gammelli; Simone D'Amico; Marco Pavone 001 (CoRR, 2023)

Learning to Control Autonomous Fleets from Observation via Offline Reinforcement Learning. - Carolin Schmidt; Daniele Gammelli; Francisco Câmara Pereira; Filipe Rodrigues 001 (ECC, 2024)

Real-Time Control of Electric Autonomous Mobility-on-Demand Systems via Graph Reinforcement Learning. - Aaryan Singhal; Daniele Gammelli; Justin Luke; Karthik Gopalakrishnan 002; Dominik Helmreich; Marco Pavone 001 (ECC, 2024)

Adapting a Foundation Model for Space-based Tasks. - Matthew Foutter; Praneet Bhoj; Rohan Sinha; Amine Elhafsi; Somrita Banerjee; Christopher Agia; Justin Kruger; Tommaso Guffanti; Daniele Gammelli; Simone D'Amico; Marco Pavone 001 (CoRR, 2024)

Towards Robust Spacecraft Trajectory Optimization via Transformers. - Yuji Takubo; Tommaso Guffanti; Daniele Gammelli; Marco Pavone 001; Simone D'Amico (CoRR, 2024)

Transformer-Based Model Predictive Control: Trajectory Optimization via Sequence Modeling. - Davide Celestini; Daniele Gammelli; Tommaso Guffanti; Simone D'Amico; Elisa Capello; Marco Pavone 001 (IEEE Robotics Autom. Lett., 2024)

Generalizable Spacecraft Trajectory Generation via Multimodal Learning with Transformers. - Davide Celestini; Amirhossein Afsharrad; Daniele Gammelli; Tommaso Guffanti; Gioele Zardini; Sanjay Lall; Elisa Capello; Simone D'Amico; Marco Pavone 001 (ACC, 2025)

Offline Hierarchical Reinforcement Learning via Inverse Optimization. - Carolin Schmidt; Daniele Gammelli; James Harrison; Marco Pavone 001; Filipe Rodrigues 001 (ICLR, 2025)

Robo-taxi Fleet Coordination at Scale via Reinforcement Learning. - Luigi Tresca; Carolin Schmidt; James Harrison; Filipe Rodrigues 001; Gioele Zardini; Daniele Gammelli; Marco Pavone 001 (CoRR, 2025)

Vision Foundation Model Embedding-Based Semantic Anomaly Detection. - Max Peter Ronecker; Matthew Foutter; Amine Elhafsi; Daniele Gammelli; Ihor Barakaiev; Marco Pavone 001; Daniel Watzenig (CoRR, 2025)

Learning traffic flows: Graph Neural Networks for Metamodelling Traffic Assignment. - Oskar Bohn Lassen; Serio Agriesti; Mohamed Eldafrawi; Daniele Gammelli; Guido Cantelmo; Guido Gentile; Francisco Câmara Pereira (CoRR, 2025)

Reproducibility in the Control of Autonomous Mobility-on-Demand Systems. - Xinling Li; Meshal Alharbi; Daniele Gammelli; James Harrison; Filipe Rodrigues 001; Maximilian Schiffer; Marco Pavone 001; Emilio Frazzoli; Jinhua Zhao; Gioele Zardini (CoRR, 2025)

Agile Tradespace Exploration for Space Rendezvous Mission Design via Transformers. - Yuji Takubo; Daniele Gammelli; Marco Pavone 001; Simone D'Amico (CoRR, 2025)

Learning Joint Rebalancing and Dynamic Pricing Policies for Autonomous Mobility-on-Demand. - Xinling Li; Carolin Schmidt; Daniele Gammelli; Filipe Rodrigues 001 (IEEE Trans. Intell. Transp. Syst., 2025)