Arama Sonuçları - (( interactive majorization algorithm ) OR ( interactive variation algorithm ))

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  1. Distributional Reinforcement Learning Yazar: Bellemare, Marc G., Dabney, Will, Rowland, Mark

    Baskı/Yayın Bilgisi 2023
    “…They demonstrate its power to account for many complex, interesting phenomena that arise from interactions with one's environment.The authors present core ideas from classical reinforcement learning to contextualize distributional topics and include mathematical proofs pertaining to major results discussed in the text. …”
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  2. 10th Anniversary of Plants—Recent Advances and Perspectives

    Baskı/Yayın Bilgisi 2023
    Konular: “…seasonal variation…”
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  3. 10th Anniversary of Plants—Recent Advances and Perspectives

    Baskı/Yayın Bilgisi 2023
    Konular: “…seasonal variation…”
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    Online
  4. 10th Anniversary of Plants—Recent Advances and Perspectives

    Baskı/Yayın Bilgisi 2023
    Konular: “…seasonal variation…”
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    Online
  5. Advances in Quantum Computing

    Baskı/Yayın Bilgisi 2024
    Konular: “…quantum variational algorithm…”
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  6. Mathematical Modeling of Engineering and Socio-Economic Processes and Systems

    Baskı/Yayın Bilgisi 2024
    Konular: “…surface asperities interaction…”
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  7. Advances in Hydrodynamics of Water Pump Station System

    Baskı/Yayın Bilgisi 2024
    Konular: “…fluid-structure interaction…”
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  8. Foundations of Robotics

    Baskı/Yayın Bilgisi 2024
    “…The book also introduces the reader to the Robot Operating System (ROS), the ubiquitous software and algorithmic framework used by researchers and the industry. …”
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  9. Computational Intelligence and Human–Computer Interaction

    Baskı/Yayın Bilgisi 2025
    Konular: “…interactive reasoning…”
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  10. Interaction of BCI with the underlying neurological conditions in patients: pros and cons Yazar: Aleksandra Vuckovic, Christoph Guger, Jaime Pined, Disha Gupta, Kristen Lamarca

    Baskı/Yayın Bilgisi 2021
    “…We expect to generate a body of knowledge valuable both to researchers working with clinical populations, but also to a vast majority of BCI researchers testing new algorithms on able-bodied people. …”
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