Aspects of Agent Based Planning in the Demand Driven Railcab Scenario

Dangelmaier, Wilhelm; Klöpper, Benjamin; Rüngerer, Nando; Aufenanger, Mark

doi:10.1007/978-3-540-76862-3_16

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Aspects of Agent Based Planning in the Demand Driven Railcab Scenario

Cited by 4 publications

References 8 publications

Modeling of route planning system based on Q value-based dynamic programming with multi-agent reinforcement learning algorithms

Modeling of route planning system based on Q value-based dynamic programming with multi-agent reinforcement learning algorithms

A multi-agent system approach to control road transportation network

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