1–6 von 6 Ergebnissen
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    Microscopic modeling of cyclists interactions with pedestrians in shared spaces: a Gaussian process inverse reinforcement learning approach

    Alsaleh, Rushdi / Sayed, Tarek | Taylor & Francis Verlag | 2022
    Schlagwörter: reward function

    Can motorcyclist behavior in traffic conflicts be modeled? A deep reinforcement learning approach for motorcycle-pedestrian interactions

    Lanzaro, Gabriel / Sayed, Tarek / Alsaleh, Rushdi | Taylor & Francis Verlag | 2022
    Schlagwörter: reward function

    Multiagent modeling of pedestrian-vehicle conflicts using Adversarial Inverse Reinforcement Learning

    Nasernejad, Payam / Sayed, Tarek / Alsaleh, Rushdi | Taylor & Francis Verlag | 2023
    Schlagwörter: reward function

    Deep reinforcement learning in dynamic positioning control: by rewarding small response of riser angles

    Wang, Fang / Bai, Yong / Bai, Jie et al. | Taylor & Francis Verlag | 2023
    Schlagwörter: reward function

    Exploring the performance impact of soft constraint integration on reinforcement learning-based autonomous vessel navigation: Experimental insights

    Freier Zugriff
    Xin Jiang / Jiawen Li / Zhenkai Huang et al. | DOAJ | 2024
    Schlagwörter: Reward function

    Mu’tezile’de Yaratılışın Gayesi ve İlahî Fiillerin Değer Analizi

    Freier Zugriff
    Hüseyin Maraz | DOAJ | 2020
    Schlagwörter: reward