Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Learning to Communicate: A Machine Learning Framework for Heterogeneous Multi-Agent Robotic Systems


    Beteiligte:
    Yoon, Hyung-Jin (Autor:in) / Chen, Huaiyu (Autor:in) / Long, Kehan (Autor:in) / Zhang, Heling (Autor:in) / Gahlawat, Aditya (Autor:in) / Lee, Donghwan (Autor:in) / Hovakimyan, Naira (Autor:in)

    Kongress:

    AIAA Scitech 2019 Forum



    Erscheinungsdatum :

    01.01.2019




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    Learning to Communicate: A Machine Learning Framework for Heterogeneous Multi-Agent Robotic Systems

    Yoon, Hyung-Jin / Chen, Huaiyu / Long, Kehan et al. | TIBKAT | 2019


    Communicate with Traffic Lights and Vehicles Based on Multi-Agent Reinforcement Learning

    Wu, Qiang / Zhi, Peng / Wei, Yongqiang et al. | IEEE | 2021


    Hierarchical Transfer Learning in Heterogeneous Multi-agent Systems

    Kono, Hitoshi / Murata, Yuta / Kamimura, Akiya et al. | British Library Online Contents | 2015


    Revisited: Machine Intelligence in Heterogeneous Multi-Agent Systems

    Borah, Kaustav Jyoti / Talukdar, Rajashree | Springer Verlag | 2020


    Revisited: Machine Intelligence in Heterogeneous Multi-Agent Systems

    Borah, Kaustav Jyoti / Talukdar, Rajashree | British Library Conference Proceedings | 2020