Sökning: "Mélanie Fournier"

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  1. 1. Reinforcement Learning for the Optimization of Explicit Runge-Kutta Method Parameters

    Kandidat-uppsats, Lunds universitet/Matematik LTH; Lunds universitet/Matematik (naturvetenskapliga fakulteten); Lunds universitet/Matematikcentrum

    Författare :Mélanie Fournier; [2023]
    Nyckelord :reinforcement learning; numerical analysis; Runge-Kutta; policy gradient; REINFORCE; Mathematics and Statistics;

    Sammanfattning : Reinforcement learning is one of the three main paradigms in machine learning, which is increasingly used as a method to approach scientific problems. In this thesis, we introduce and use reinforcement learning to find the optimal parameters of a numerical solver. LÄS MER