1–5 von 5 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

    Modeling pedestrian behavior in pedestrian-vehicle near misses: A continuous Gaussian Process Inverse Reinforcement Learning (GP-IRL) approach

    Nasernejad, Payam / Sayed, Tarek / Alsaleh, Rushdi | Elsevier | 2021
    Schlagwörter: Reward function