collaborators

5 papers

cs.AI2026

Towards Autonomous Aircraft Surveillance from Nanosatellites through On-Board Inference and Generative Data Augmentation

Antonio Delgado-Rosa, David Muñoz-Valero, Enrique Adrian Villarrubia-Martin +1

Airborne surveillance from low Earth orbit is hindered by two interconnected bottlenecks: nanosatellites have a limited downlink budget, yet the conventional approach still transmi…

cs.LG2026

Relational Multi-Agent Reinforcement Learning for Dynamic Pricing in High-Speed Railway Markets

Enrique Adrian Villarrubia-Martin, David Muñoz-Valero, Luis Rodriguez-Benitez +2

In liberalised railway systems, operators must set prices dynamically in an environment with partial observability, as they retain private information about their objectives and pe…

cs.NE2025

Towards Equitable Rail Service Allocation Through Fairness-Oriented Timetabling in Liberalized Markets

David Muñoz-Valero, Juan Moreno-Garcia, Julio Alberto López-Gómez +1

Over the last few decades, European rail transport has undergone major changes as part of the process of liberalization set out in European regulations. In this context of liberali…

cs.NE2025

An approach to the timetabling problem in deregulated railway markets based on metaheuristic algorithms

David Muñoz-Valero, Juan Moreno-Garcia, Julio Alberto López-Gómez +2

The train timetabling problem in liberalized railway markets represents a challenge to the coordination between infrastructure managers and railway undertakings. Efficient scheduli…

cs.LG2025

Dynamic Pricing in High-Speed Railways Using Multi-Agent Reinforcement Learning

Enrique Adrian Villarrubia-Martin, Luis Rodriguez-Benitez, David Muñoz-Valero +2

This paper addresses a critical challenge in the high-speed passenger railway industry: designing effective dynamic pricing strategies in the context of competing and cooperating o…