works on

From the 1 of 5 linked papers with an AI index.

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

The paper proposes a workflow that runs aircraft detection directly on a CubeSat using an edge AI accelerator and improves training data for rare aircraft classes with a diffusion‑…

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.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…

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.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…