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1–20 von 28 Ergebnissen
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    Die Beurteilung des Aufbaus nationaler Handelsflotten in unterentwickelten Ländern

    Stuchtey, Rolf W. | SLUB | 1968
    Schlagwörter: Intensivierung

    Deep dispatching: A deep reinforcement learning approach for vehicle dispatching on online ride-hailing platform

    Liu, Yang / Wu, Fanyou / Lyu, Cheng et al. | Elsevier | 2022
    Schlagwörter: Deep reinforcement learning

    Towards efficient airline disruption recovery with reinforcement learning

    Ding, Yida / Wandelt, Sebastian / Wu, Guohua et al. | Elsevier | 2023
    Schlagwörter: Deep Reinforcement Learning

    Reinforcement learning framework for freight demand forecasting to support operational planning decisions

    Al Hajj Hassan, Lama / Mahmassani, Hani S. / Chen, Ying | Elsevier | 2020
    Schlagwörter: Reinforcement learning

    Online operations strategies for automated multistory parking facilities

    Wang, Yineng / Li, Meng / Lin, Xi et al. | Elsevier | 2020
    Schlagwörter: Reinforcement learning

    Optimization of ride-sharing with passenger transfer via deep reinforcement learning

    Wang, Dujuan / Wang, Qi / Yin, Yunqiang et al. | Elsevier | 2023
    Schlagwörter: Deep reinforcement learning

    Recursive logit-based meta-inverse reinforcement learning for driver-preferred route planning

    Zhang, Pujun / Lei, Dazhou / Liu, Shan et al. | Elsevier | 2024
    Schlagwörter: Inverse reinforcement learning

    A novel CNN-DDPG based AI-trader: Performance and roles in business operations

    Luo, Suyuan / Lin, Xudong / Zheng, Zunxin | Elsevier | 2019
    Schlagwörter: Reinforcement learning

    Dynamic stochastic electric vehicle routing with safe reinforcement learning

    Basso, Rafael / Kulcsár, Balázs / Sanchez-Diaz, Ivan et al. | Elsevier | 2021
    Schlagwörter: Reinforcement learning

    Integrating Dijkstra’s algorithm into deep inverse reinforcement learning for food delivery route planning

    Liu, Shan / Jiang, Hai / Chen, Shuiping et al. | Elsevier | 2020
    Schlagwörter: Inverse reinforcement learning

    Personalized route recommendation for ride-hailing with deep inverse reinforcement learning and real-time traffic conditions

    Liu, Shan / Jiang, Hai | Elsevier | 2022
    Schlagwörter: Inverse reinforcement learning

    A computational approach for real-time stochastic recovery of electric power networks during a disaster

    Inanlouganji, Alireza / Pedrielli, Giulia / Reddy, T. Agami et al. | Elsevier | 2022
    Schlagwörter: Reinforcement learning

    Adherence to standard operating procedures for improving data quality: An empirical analysis in the postal service industry

    Eskandarzadeh, Saman / Fahimnia, Behnam / Hoberg, Kai | Elsevier | 2023
    Schlagwörter: Management reinforcement

    Online model-based reinforcement learning for decision-making in long distance routes

    Alcaraz, Juan J. / Losilla, Fernando / Caballero-Arnaldos, Luis | Elsevier | 2022
    Schlagwörter: Reinforcement learning

    Efficient inventory routing for Bike-Sharing Systems: A combinatorial reinforcement learning framework

    Guo, Yuhan / Li, Jinning / Xiao, Linfan et al. | Elsevier | 2024
    Schlagwörter: Reinforcement learning

    A stochastic scheduling, allocation, and inventory replenishment problem for battery swap stations

    Asadi, Amin / Nurre Pinkley, Sarah | Elsevier | 2020
    Schlagwörter: Reinforcement learning

    Reinforcement learning for logistics and supply chain management: Methodologies, state of the art, and future opportunities

    Yan, Yimo / Chow, Andy H.F. / Ho, Chin Pang et al. | Elsevier | 2022
    Schlagwörter: Reinforcement learning

    AdaBoost-Bagging deep inverse reinforcement learning for autonomous taxi cruising route and speed planning

    Liu, Shan / Zhang, Ya / Wang, Zhengli et al. | Elsevier | 2023
    Schlagwörter: Inverse reinforcement learning

    Deep reinforcement learning for the optimal placement of cryptocurrency limit orders

    Freier Zugriff
    Schnaubelt, Matthias | BASE | 2020
    Schlagwörter: Deep Reinforcement Learning