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…
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…
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…