Hierarchical multi-agent reinforcement learning may be used for joint order dispatching and fleet management for ride-sharing platforms. Information may be obtained. The information may include a status of a ride-sharing platform and a set of messages. The obtained information may be input into a trained hierarchical reinforcement learning (HRL) model. The trained HRL model may include at least one manager module corresponding to a region, and the at least one manager module may include a set of worker modules each corresponding to a division the region. At least one goal of the division in the region may be obtained based on the status of the ride-sharing platform and the set of messages. A vehicle action may be generated for each vehicle in the division in the region based on the status of the ride-sharing platform, the set of messages, and the at least one goal.


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    Titel :

    Joint order dispatching and fleet management for online ride-sharing platforms


    Beteiligte:
    YAN JIAO (Autor:in) / QIN ZHIWEI (Autor:in)

    Erscheinungsdatum :

    19.07.2022


    Medientyp :

    Patent


    Format :

    Elektronische Ressource


    Sprache :

    Englisch


    Klassifikation :

    IPC:    G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen / G06Q Datenverarbeitungssysteme oder -verfahren, besonders angepasst an verwaltungstechnische, geschäftliche, finanzielle oder betriebswirtschaftliche Zwecke, sowie an geschäftsbezogene Überwachungs- oder Voraussagezwecke , DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES / G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS



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