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121–140 von 6,775 Ergebnissen
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    Indirect Methods for Robot Skill Learning

    Freier Zugriff
    ESTEBAN CABALA, DOMINGO FRANCISCO | BASE | 2019
    Schlagwörter: robot learning , reinforcement learning , imitation learning , deep reinforcement learning , hierarchical reinforcement learning , transfer learning , multi-task learning

    Identification of symbols and its influence on training for motor vehicle controls

    Lendholt, R. | Tema Archiv | 1974
    Schlagwörter: LERNPROZESS

    Urban traffic control based on learning agents

    Gregoire, P.L. / Desjardins, C. / Laumonier, J. et al. | Tema Archiv | 2007
    Schlagwörter: Lernen , maschinelles Lernen

    Design of Reinforcement Learning Parameters for Seamless Application of Adaptive Traffic Signal Control

    El-Tantawy, Samah / Abdulhai, Baher / Abdelgawad, Hossam | Taylor & Francis Verlag | 2014
    Schlagwörter: Reinforcement Learning , Temporal Difference Learning

    Deep Reinforcement Learning for Mobile Robot Navigation

    Freier Zugriff
    Gromniak, Martin / Stenzel, Jonas | BASE | 2019
    Schlagwörter: end-to-end-learning , reinforcement learning , robot learning

    Learning motion skills for a humanoid robot

    Freier Zugriff
    Bestmann, Marc / Universität Hamburg | TIBKAT | 2023
    Schlagwörter: Maschinelles Lernen , Bestärkendes Lernen

    Predicting cycle-level traffic movements at signalized intersections using machine learning models

    Mahmoud, Nada / Abdel-Aty, Mohamed / Cai, Qing et al. | Elsevier | 2020
    Schlagwörter: Deep learning , Machine learning

    Robot motion adaptation through user intervention and reinforcement learning

    Freier Zugriff
    Jevtić, Aleksandar / Colomé, Adrià / Alenyà, Guillem et al. | BASE | 2018
    Schlagwörter: Motion learning , Learning and adaptive systems

    Machine Learning for Radio Resource Management in Multibeam GEO Satellite Systems

    Freier Zugriff
    Ortiz-Gomez, Flor G. / Lei, Lei / Lagunas, Eva et al. | BASE | 2022
    Schlagwörter: machine learning , supervised learning , reinforcement learning

    You Were Always on My Mind:Introducing Chef’s Hat and COPPER for Personalized Reinforcement Learning

    Freier Zugriff
    Barros, Pablo / Bloem, Anne C. / Hootsmans, Inge M. et al. | BASE | 2021
    Schlagwörter: continual reinforcement learning , opponent-aware competitive learning , reinforcement learning , simulation environment for reinforcement learning

    Enhancing discrete choice models with representation learning

    Sifringer, Brian / Lurkin, Virginie / Alahi, Alexandre | Elsevier | 2020
    Schlagwörter: Machine learning , Deep learning

    Learning Driver Behavior Models for Predicting Urban Traffic Situations

    Freier Zugriff
    Sackmann, Moritz | TIBKAT | 2024
    Schlagwörter: Maschinelles Lernen

    Regenerative braking and low vehicle noise of electric vehicles – implications for the driver

    Freier Zugriff
    Cocron, Peter | TIBKAT | 2014
    Schlagwörter: Lernen

    Validity index in dynamic cell structures

    Liu, Yan / Cukic, B. / Yerramalla, S. et al. | Tema Archiv | 2005
    Schlagwörter: Lernen , Online-Lernen , adaptives Lernen

    Safety concept and simulation-based approval of an automated driving function for the transverse guidance of vehicles

    Freier Zugriff
    Khatun, Marzana / Universität Ulm | TIBKAT | 2023
    Schlagwörter: Maschinelles Lernen , Machine learning

    Potenziale für industrieübergreifendes Flottenlernen : KI-Mobilitätsdatenplattform zur Risikominimierung des automatisierten Fahrens : Whitepaper

    Freier Zugriff
    Hesse, Tobias / Peylo, Christoph / Bahlmann, Claus et al. | TIBKAT | 2021
    Schlagwörter: Maschinelles Lernen

    Prediction of aircraft trajectory and the associated fuel consumption using covariance bidirectional extreme learning machines

    Khan, Waqar Ahmed / Ma, Hoi-Lam / Ouyang, Xu et al. | Elsevier | 2020
    Schlagwörter: Extreme learning machine , Machine learning

    Deep Reinforcement Learning for Robot Batching Optimization and Flow Control

    Freier Zugriff
    Hildebrand, Max / Andersen, Rasmus Skovgaard / Bøgh, Simon | BASE | 2020
    Schlagwörter: Reinforcement Learning , Deep Reinforcement Learning , Deep Learning

    DOP: Deep Optimistic Planning with Approximate Value Function Evaluation

    Freier Zugriff
    Francesco Riccio / Roberto Capobianco / Daniele Nardi | BASE | 2018
    Schlagwörter: Robot Learning , Deep Learning