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    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 , Q-learning

    A mixed-integer programming-based Q-learning approach for electric bus scheduling with multiple termini and service routes

    Yan, Yimo / Wen, Haomin / Deng, Yang et al. | Elsevier | 2024
    Schlagwörter: Q-learning

    Adaptive signal control for bus service reliability with connected vehicle technology via reinforcement learning

    Chow, Andy H.F. / Su, Z.C. / Liang, E.M. et al. | Elsevier | 2021
    Schlagwörter: Reinforcement learning

    Adaptive scheduling of mixed bus services with flexible fleet size assignment under demand uncertainty

    Chow, Andy H.F. / Li, Guang-yu / Ying, Cheng-shuo | Elsevier | 2023
    Schlagwörter: Reinforcement learning

    An actor-critic deep reinforcement learning approach for metro train scheduling with rolling stock circulation under stochastic demand

    Ying, Cheng-shuo / Chow, Andy H.F. / Chin, Kwai-Sang | Elsevier | 2020
    Schlagwörter: Deep reinforcement learning

    Hierarchical control for stochastic network traffic with reinforcement learning

    Su, Z.C. / Chow, Andy H.F. / Fang, C.L. et al. | Elsevier | 2022
    Schlagwörter: Reinforcement learning

    Multi-agent deep reinforcement learning for adaptive coordinated metro service operations with flexible train composition

    Ying, Cheng-shuo / Chow, Andy H.F. / Nguyen, Hoa T.M. et al. | Elsevier | 2022
    Schlagwörter: Multi-agent deep reinforcement learning