Showing 61 - 80 results of 1,520 for search '(( algorithm python function ) OR ( algorithm value function ))', query time: 0.25s Refine Results
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    The value functions of comparative policies. by Liying Wang (288626)

    Published 2025
    “…These expressions are determined using the copula function, and an algorithm is designed to construct the corresponding transition probability matrix. …”
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    Completion times for different algorithms. by Jianbin Zheng (587000)

    Published 2025
    “…Action masking is used to filter out invalid states and actions, while a shared reward mechanism is adopted to balance cooperation efficiency among agents. Additionally, value function normalization and adaptive learning rate strategies are applied to accelerate convergence. …”
  4. 64

    The average cumulative reward of algorithms. by Jianbin Zheng (587000)

    Published 2025
    “…Action masking is used to filter out invalid states and actions, while a shared reward mechanism is adopted to balance cooperation efficiency among agents. Additionally, value function normalization and adaptive learning rate strategies are applied to accelerate convergence. …”
  5. 65

    Comparison of site selection results of three algorithms. by Junjie He (700642)

    Published 2024
    Subjects: “…coverage attenuation function…”
  6. 66

    Means plots of genetic algorithm calibration parameters. by Junjie He (700642)

    Published 2024
    Subjects: “…coverage attenuation function…”
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    Study proposed algorithm. by Ainhoa Pérez-Guerrero (21377457)

    Published 2025
    Subjects: “…assess microvascular function…”
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    The structure of genetic algorithm (GA). by Ali Akbar Moosavi (17769033)

    Published 2024
    “…First, physico-chemical inputs as bulk density (BD), initial water content (W<sub>i</sub>), saturated water content (W<sub>s</sub>), mean weight diameter (MWD), and geometric mean diameter (GMD) of aggregates, pH, electrical conductivity (EC), and calcium carbonate equivalent (CCE) were measured. Then, radial basis functions (RBFNNs), multilayer perceptron (MLPNNs), hybrid genetic algorithm (GA-NNs), and particle swarm optimization (PSO-NNs) neural networks were utilized to develop PTFs and compared their accuracy with the traditional regression model (MLR) using statistical indices. …”
  14. 74

    Simulation settings of rMAPPO algorithm. by Jianbin Zheng (587000)

    Published 2025
    “…Action masking is used to filter out invalid states and actions, while a shared reward mechanism is adopted to balance cooperation efficiency among agents. Additionally, value function normalization and adaptive learning rate strategies are applied to accelerate convergence. …”
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