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Syed Ali Asad Rizvi – författare

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4 produkter

  1. Syed Ali Asad Rizvi, Zongli Lin - Output Feedback Reinforcement Learning Control for Linear Systems, Inbunden. Tillgänglighet: Lägg i varukorg

    Output Feedback Reinforcement Learning Control for Linear Systems

    Av Syed Ali Asad Rizvi, Zongli Lin

    Inbunden, 2022

    1643 kr

    Lägg i varukorg

    This monograph explores the analysis and design of model-free optimal control systems based on reinforcement learning (RL) theory, presenting new methods that overcome recent challenges faced by RL. New developments in the design of sensor data efficient RL algorithms are demonstrated that not only …

  2. Zongli Lin, Syed Ali Asad Rizvi - Output Feedback Reinforcement Learning Control for Linear Systems, E-bok. Tillgänglighet: Lägg i varukorg

    Output Feedback Reinforcement Learning Control for Linear Systems

    Av Zongli Lin, Syed Ali Asad Rizvi

    E-bok, 2022

    2065 kr

    Lägg i varukorg

    This monograph explores the analysis and design of model-free optimal control systems based on reinforcement learning (RL) theory, presenting new methods that overcome recent challenges faced by RL. New developments in the design of sensor data efficient RL algorithms are demonstrated that not only …

  3. Syed Ali Asad Rizvi, Zongli Lin - Output Feedback Reinforcement Learning Control for Linear Systems. Tillgänglighet: Lägg i varukorg

    Output Feedback Reinforcement Learning Control for Linear Systems

    Av Syed Ali Asad Rizvi, Zongli Lin

    2022

    667 kr

    Lägg i varukorg

  4. Syed Ali Asad Rizvi, Zongli Lin - Output Feedback Reinforcement Learning Control for Linear Systems, Häftad. Tillgänglighet: Lägg i varukorg

    Output Feedback Reinforcement Learning Control for Linear Systems

    Av Syed Ali Asad Rizvi, Zongli Lin

    Häftad, 2023

    1643 kr

    Lägg i varukorg

    This monograph explores the analysis and design of model-free optimal control systems based on reinforcement learning (RL) theory, presenting new methods that overcome recent challenges faced by RL. New developments in the design of sensor data efficient RL algorithms are demonstrated that not only …