1–20 von 45 Ergebnissen
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    Strategic use of fare-reward schemes in a ride-sourcing market: An equilibrium analysis

    Son, Dong-Hoon / Yang, Hai | Elsevier | 2023
    Schlagwörter: Reward strategy , Fare-reward scheme

    Automated vehicle’s behavior decision making using deep reinforcement learning and high-fidelity simulation environment

    Ye, Yingjun / Zhang, Xiaohui / Sun, Jian | Elsevier | 2019
    Schlagwörter: Reward function

    Reward design for driver repositioning using multi-agent reinforcement learning

    Shou, Zhenyu / Di, Xuan | Elsevier | 2020
    Schlagwörter: Reward design

    Integrated reward scheme and surge pricing in a ridesourcing market

    Yang, Hai / Shao, Chaoyi / Wang, Hai et al. | Elsevier | 2020
    Schlagwörter: Reward scheme

    The Spitsmijden experiment: A reward to battle congestion

    Knockaert, Jasper / Tseng, Yin-Yen / Verhoef, Erik T. et al. | Elsevier | 2012
    Schlagwörter: Reward experiment

    Reward functions for learning to control in air traffic flow management

    Cruciol, Leonardo L.B.V. / de Arruda, Antonio C. Jr. / Weigang, Li et al. | Elsevier | 2013
    Schlagwörter: Reward function

    Pricing strategies in reward-based crowdfunding: Whether to introduce price guarantee?

    Sun, Yanhong / Sheng, Yiyun / Yan, Shuai et al. | Elsevier | 2023
    Schlagwörter: Reward-based crowdfunding

    IBPO: Solving 3D Strategy Game with the Intrinsic Reward

    Li, Huale / Cao, Rui / Hou, Xiaohan et al. | Springer Verlag | 2021
    Schlagwörter: Reward sparsity , Intrinsic reward

    A Pareto-improving and revenue-neutral scheme to manage mass transit congestion with heterogeneous commuters

    Tang, Yili / Yang, Hai / Wang, Bo et al. | Elsevier | 2019
    Schlagwörter: Fare-reward scheme

    Preceding vehicle following algorithm with human driving characteristics

    Pan, Feng / Bao, Hong | SAGE Publications | 2021
    Schlagwörter: reward vector

    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

    On-demand ride-sourcing markets with cryptocurrency-based fare-reward scheme

    Son, Dong-Hoon | Elsevier | 2023
    Schlagwörter: Fare-reward scheme

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

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

    What leads to value co-creation in reward-based crowdfunding? A person-environment fit perspective

    Su, Linlin / Cheng, Xusen / Hua, Ying et al. | Elsevier | 2021
    Schlagwörter: Reward-based crowdfunding

    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

    Stick or carrot for traffic demand management? Evidence from experimental economics

    Tian, Ye / Li, Yudi / Sun, Jian | Elsevier | 2022
    Schlagwörter: Reward