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    Making to Learn. The Pedagogical Implications of Making in a Digital Binary World

    Freier Zugriff
    Ranieri, Maria | Springer Verlag | 2021
    Schlagwörter: Learning by doing , Problem-based learning , Social learning

    Performance Comparison of Supervised and Reinforcement Learning Approaches for Separating Entanglements in a Bin-Picking Application

    Freier Zugriff
    Moosmann, Marius / Kaiser, Manuel / Rosport, Johannes et al. | Springer Verlag | 2023
    Schlagwörter: Machine Learning , Reinforcement Learning , Supervised Learning

    Learning Platforms in the Context of the Digitization of Education: A Strong Methodological Innovation. The Experience of Latvia

    Freier Zugriff
    Rūdolfa, Arta / Daniela, Linda | Springer Verlag | 2021
    Schlagwörter: Learning platforms , Digital learning tool , Technology enhanced learning

    Service Learning: A Proposal for the Maker Approach

    Freier Zugriff
    Frazzarin, Irene / Leonori, Danila | Springer Verlag | 2021
    Schlagwörter: Service learning , Learning by doing , Project-based learning

    Autonomous maneuver strategy of swarm air combat based on DDPG

    Freier Zugriff
    Wang, Luhe / Hu, Jinwen / Xu, Zhao et al. | Springer Verlag | 2021
    Schlagwörter: Deep reinforcement learning , Machine Learning

    Multi-agent reinforcement learning for autonomous vehicles: a survey

    Freier Zugriff
    Dinneweth, Joris / Boubezoul, Abderrahmane / Mandiau, René et al. | Springer Verlag | 2022
    Schlagwörter: Multi-agent reinforcement learning , Machine Learning

    Using Meta-Learning to Reduce the Effort of Training New Workpiece Geometries for Entanglement Detection in Bin-Picking Applications

    Freier Zugriff
    Moosmann, Marius / Bleifuß, Julian / Rosport, Johannes et al. | Springer Verlag | 2023
    Schlagwörter: Machine Learning , Meta Learning

    Landscapes of Knowledge and Innovative Learning Experiences

    Freier Zugriff
    Faiferri, Massimo / Bartocci, Samanta | Springer Verlag | 2021
    Schlagwörter: Active learning , Urban learning

    Multi-agent reinforcement learning for cooperative lane changing of connected and autonomous vehicles in mixed traffic

    Freier Zugriff
    Zhou, Wei / Chen, Dong / Yan, Jun et al. | Springer Verlag | 2022
    Schlagwörter: Multi-agent deep reinforcement learning , Machine Learning

    From Classroom to Learning Environment

    Freier Zugriff
    Borri, Samuele | Springer Verlag | 2021
    Schlagwörter: Learning environment , Learning space

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