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16 ta ish

Ish: Exploring the Potential of the Bicameral Mind Theory in Reinforcement Learning Algorithms

  1. The Introduction of Artificial Intelligence in the Study of Economic Disciplines in Higher Educational Institutions

    Saidakhror Saidakhmedovich Gulyamov, Rabim Alikulovich Fayziev, Andrey Aleksandrovich Rodionov +1

    MaqolaEngineering Education and Technology202215 iqtibos
    ABI

  2. Human-level control through deep reinforcement learning

    Volodymyr Mnih, Koray Kavukcuoglu, David Silver +16

    Maqola201510 iqtibos
    ABI

  3. EXPERIENCE IN USING BIG DATA TECHNOLOGY FOR DIGITALIZATION OF INFORMATION

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    MaqolaOchiq kirishWater and Wastewater Treatment20225 iqtibos
    ABI

  4. Deep Reinforcement Learning: A Brief Survey

    Kai Arulkumaran, Marc Peter Deisenroth, Miles Brundage +1

    MaqolaOchiq kirish20174 iqtibos
    ABI

  5. Reinforcement Learning, Fast and Slow

    Matthew Botvinick, Sam Ritter, Jane X. Wang +3

    Sharh maqola20192 iqtibos
    ABI

  6. Reinforcement Learning: A Survey

    Leslie Pack Kaelbling, Michael L. Littman, Andrew Moore

    Maqola19962 iqtibos
    ABI

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