يعرض 1 - 10 نتائج من 20 نتيجة بحث عن '"Di Natale, Loris"', وقت الاستعلام: 0.86s تنقيح النتائج
  1. 1
    مؤتمر
    Stable Linear Subspace Identification: A Machine Learning Approach

    المؤلفون: Di Natale, Loris, Zakwan, Muhammad, Svetozarevic, Bratislav, Heer, Philipp, Ferrari-Trecate, Giancarlo, Jones, Colin N.

    المصدر: 2024 European Control Conference (ECC) Control Conference (ECC), 2024 European. :3539-3544 Jun, 2024

    Relation: 2024 European Control Conference (ECC)

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  2. 2
    مؤتمر
    Computationally Efficient Reinforcement Learning: Targeted Exploration leveraging Simple Rules

    المؤلفون: Di Natale, Loris, Svetozarevic, Bratislav, Heer, Philipp, Jones, Colin N.

    المصدر: 2023 62nd IEEE Conference on Decision and Control (CDC) Decision and Control (CDC), 2023 62nd IEEE Conference on. :2334-2339 Dec, 2023

    Relation: 2023 62nd IEEE Conference on Decision and Control (CDC)

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  3. 3
    تقرير
    SIMBa: System Identification Methods leveraging Backpropagation

    المؤلفون: Di Natale, Loris, Zakwan, Muhammad, Heer, Philipp, Ferrari-Trecate, Giancarlo, Jones, Colin N.

    مصطلحات موضوعية: Electrical Engineering and Systems Science - Systems and Control

    URL الوصول: http://arxiv.org/abs/2311.13889

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  4. 4
    تقرير
    Stable Linear Subspace Identification: A Machine Learning Approach

    المؤلفون: Di Natale, Loris, Zakwan, Muhammad, Svetozarevic, Bratislav, Heer, Philipp, Ferrari-Trecate, Giancarlo, Jones, Colin N.

    مصطلحات موضوعية: Electrical Engineering and Systems Science - Systems and Control, Computer Science - Machine Learning

    URL الوصول: http://arxiv.org/abs/2311.03197

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  5. 5
    تقرير
    Data-driven adaptive building thermal controller tuning with constraints: A primal-dual contextual Bayesian optimization approach

    المؤلفون: Xu, Wenjie, Svetozarevic, Bratislav, Di Natale, Loris, Heer, Philipp, Jones, Colin N

    مصطلحات موضوعية: Electrical Engineering and Systems Science - Systems and Control, Computer Science - Machine Learning

    URL الوصول: http://arxiv.org/abs/2310.00758

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  6. 6
    مؤتمر
    Lessons Learned from Data-Driven Building Control Experiments: Contrasting Gaussian Process-based MPC, Bilevel DeePC, and Deep Reinforcement Learning

    المؤلفون: Di Natale, Loris, Lian, Yingzhao, Maddalena, Emilio T., Shi, Jicheng, Jones, Colin N.

    المصدر: 2022 IEEE 61st Conference on Decision and Control (CDC) Decision and Control (CDC), 2022 IEEE 61st Conference on. :1111-1117 Dec, 2022

    Relation: 2022 IEEE 61st Conference on Decision and Control (CDC)

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  7. 7
    تقرير
    Towards Scalable Physically Consistent Neural Networks: an Application to Data-driven Multi-zone Thermal Building Models

    المؤلفون: Di Natale, Loris, Svetozarevic, Bratislav, Heer, Philipp, Jones, Colin Neil

    مصطلحات موضوعية: Computer Science - Machine Learning, Computer Science - Artificial Intelligence, Electrical Engineering and Systems Science - Systems and Control

    URL الوصول: http://arxiv.org/abs/2212.12380

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  8. 8
    تقرير
    Computationally Efficient Reinforcement Learning: Targeted Exploration leveraging Simple Rules

    المؤلفون: Di Natale, Loris, Svetozarevic, Bratislav, Heer, Philipp, Jones, Colin N.

    مصطلحات موضوعية: Computer Science - Machine Learning, Computer Science - Artificial Intelligence

    URL الوصول: http://arxiv.org/abs/2211.16691

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  9. 9
    تقرير
    Physically Consistent Neural ODEs for Learning Multi-Physics Systems

    المؤلفون: Zakwan, Muhammad, Di Natale, Loris, Svetozarevic, Bratislav, Heer, Philipp, Jones, Colin N., Trecate, Giancarlo Ferrari

    مصطلحات موضوعية: Computer Science - Machine Learning

    URL الوصول: http://arxiv.org/abs/2211.06130

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  10. 10
    تقرير
    Near-optimal Deep Reinforcement Learning Policies from Data for Zone Temperature Control

    المؤلفون: Di Natale, Loris, Svetozarevic, Bratislav, Heer, Philipp, Jones, Colin N.

    مصطلحات موضوعية: Computer Science - Machine Learning, Computer Science - Artificial Intelligence, Electrical Engineering and Systems Science - Systems and Control

    URL الوصول: http://arxiv.org/abs/2203.05434

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