Demand-Responsive Zone Generation for Real-Time Vehicle Rebalancing in Ride-Sharing Fleets. - Alberto Castagna; Maxime Guériau; Giuseppe Vizzari; Ivana Dusparic (ATT@ECAI, 2020)

Demand-responsive rebalancing zone generation for reinforcement learning-based on-demand mobility. - Alberto Castagna; Maxime Guériau; Giuseppe Vizzari; Ivana Dusparic (AI Commun., 2021)

Multi-agent Transfer Learning in Reinforcement Learning-based Ride-sharing Systems. - Alberto Castagna; Ivana Dusparic (ICAART (2), 2022)

Expert-Free Online Transfer Learning in Multi-Agent Reinforcement Learning. - Alberto Castagna; Ivana Dusparic (ECAI, 2023)

Continual Model-Based Reinforcement Learning for Data Efficient Wireless Network Optimisation. - Cengis Hasan; Alexandros Agapitos; David Lynch; Alberto Castagna; Giorgio Cruciata; Hao Wang; Aleksandar Milenovic (ECML/PKDD (6), 2023)

Efficient Multi-Objective Optimisation for Real-World Power Grid Topology Control. - Yassine El Manyari; Anton Robert Fuxjäger; Stefan Zahlner; Joost van Dijk; Alberto Castagna; Davide Barbieri; Jan Viebahn; Marcel Wasserer (e-Energy, 2025)

Expert-Free Online Transfer Learning in Multi-Agent Reinforcement Learning. - Alberto Castagna (CoRR, 2025)

Towards Efficient Multi-Objective Optimisation for Real-World Power Grid Topology Control. - Yassine El Manyari; Anton R. Fuxjäger; Stefan Zahlner; Joost van Dijk; Alberto Castagna; Davide Barbieri; Jan Viebahn; Marcel Wasserer (CoRR, 2025)

A Conceptual Framework for AI-based Decision Systems in Critical Infrastructures. - Milad Leyli-Abadi; Ricardo J. Bessa; Jan Viebahn; Daniel Boos; Clark Borst; Alberto Castagna; Ricardo Chavarriaga; Mohamed Hassouna; Bruno Lemetayer; Giulia Leto; Antoine Marot; Maroua Meddeb; et al. (CoRR, 2025)