3 papers
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…
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…
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…