Neutrons Sensitivity of Deep Reinforcement Learning Policies on EdgeAI Accelerators Article Swipe

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Pablo R. Bodmann , Matteo Saveriano , Angeliki Kritikakou , Paolo Rech ·

YOU? · · 2024 · Open Access · · DOI: https://doi.org/10.1109/tns.2024.3387087

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Reinforcement Learning

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Sensitivity (control systems) Neutron Nuclear physics Reinforcement learning Nuclear engineering Physics Computer science Engineering Artificial intelligence Electronic engineering

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Type: article
Language: en
Landing Page: https://doi.org/10.1109/tns.2024.3387087
PDF: https://ieeexplore.ieee.org/ielx7/23/4689328/10496320.pdf
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Cited By: 4
References: 26
Related Works: 10
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DOI: https://doi.org/10.1109/tns.2024.3387087

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Title: Neutrons Sensitivity of Deep Reinforcement Learning Policies on EdgeAI Accelerators

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Type: article

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Language: en

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Publication year: 2024

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Publication date: 2024-04-10

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Authors: Pablo R. Bodmann, Matteo Saveriano, Angeliki Kritikakou, Paolo Rech

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Landing page: https://doi.org/10.1109/tns.2024.3387087

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Concepts: Sensitivity (control systems), Neutron, Nuclear physics, Reinforcement learning, Nuclear engineering, Physics, Computer science, Engineering, Artificial intelligence, Electronic engineering

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Cited by: 4

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