Bokus

Jinna Li – författare

Visar alla böcker från författaren Jinna Li. Handla med fri frakt och snabb leverans.

4 produkter

  1. Jinna Li, Frank L. Lewis, Jialu Fan - Reinforcement Learning, Inbunden. Tillgänglighet: Lägg i varukorg

    Reinforcement Learning

    Optimal Feedback Control with Industrial Applications

    Av Jinna Li, Frank L. Lewis m. fl.

    Inbunden, 2023

    1527 kr

    Lägg i varukorg

    This book offers a thorough introduction to the basics and scientific and technological innovations involved in the modern study of reinforcement-learning-based feedback control. The authors address a wide variety of systems including work on nonlinear, networked, multi-agent and multi-player …

  2. Jialu Fan, Frank L. Lewis, Jinna Li - Reinforcement Learning, E-bok. Tillgänglighet: Lägg i varukorg

    Reinforcement Learning

    Optimal Feedback Control with Industrial Applications

    Av Jialu Fan, Frank L. Lewis m. fl.

    E-bok, 2023

    1956 kr

    Lägg i varukorg

    This book offers a thorough introduction to the basics and scientific and technological innovations involved in the modern study of reinforcement-learning-based feedback control. The authors address a wide variety of systems including work on nonlinear, networked, multi-agent and multi-player …

  3. Jinna Li, Frank L. Lewis - Reinforcement Learning : Optimal Feedback Control with Industrial Applications. Tillgänglighet: Lägg i varukorg

    Reinforcement Learning : Optimal Feedback Control with Industrial Applications

    Av Jinna Li, Frank L. Lewis

    2023

    652 kr

    Lägg i varukorg

  4. Jinna Li, Frank L. Lewis, Jialu Fan - Reinforcement Learning, Häftad. Tillgänglighet: Lägg i varukorg

    Reinforcement Learning

    Optimal Feedback Control with Industrial Applications

    Av Jinna Li, Frank L. Lewis m. fl.

    Häftad, 2024

    1527 kr

    Lägg i varukorg

    This book offers a thorough introduction to the basics and scientific and technological innovations involved in the modern study of reinforcement-learning-based feedback control. The authors address a wide variety of systems including work on nonlinear, networked, multi-agent and multi-player …