arxivcs.LGcs.AIcs.MA2026-07-06
Relational Multi-Agent Reinforcement Learning for Dynamic Pricing in High-Speed Railway Markets
Enrique Adrian Villarrubia-Martin, David Muñoz-Valero, Luis Rodriguez-Benitez, Giovanni Montana, Luis Jimenez-Linares
In liberalised railway systems, operators must set prices dynamically in an environment with partial observability, as they retain private information about their objectives and performance, where regulatory constraints prohibit communication or direct information exchange betwee…