1–20 von 376 Ergebnissen
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    Periodenübergreifende Budgetallokation in der Instandhaltung modularer Systeme - ein Anwendungsfall von Deep Reinforcement Learning

    Freier Zugriff
    Krause, Michael / Technische Universität Clausthal | TIBKAT | 2021
    Schlagwörter: Deep learning , Operante Konditionierung , Bestärkendes Lernen

    Deep Reinforcement Learning for the Navigation of Neurovascular Catheters

    Freier Zugriff
    Behr, Tobias / Pusch, Tim Philipp / Siegfarth, Marius et al. | BASE | 2019
    Schlagwörter: deep learning , Bestärkendes Lernen

    Reinforcement learning-enabled intelligent energy management for hybrid electric vehicles

    Liu, Teng | TIBKAT | 2019
    Schlagwörter: Deep learning , Bestärkendes Lernen (Künstliche Intelligenz)

    Reinforcement Learning-Enabled Intelligent Energy Management for Hybrid Electric Vehicles

    Liu, Teng | TIBKAT | 2019
    Schlagwörter: Deep learning , Bestärkendes Lernen (Künstliche Intelligenz)

    Deep reinforcement learning-based energy management for hybrid electric vehicles

    Li, Yeuching / He, Hongwen | TIBKAT | 2022
    Schlagwörter: Deep learning (Machine learning) , Bestärkendes Lernen (Künstliche Intelligenz)

    Comparative Evaluation for Effectiveness Analysis of Policy Based Deep Reinforcement Learning Approaches

    Freier Zugriff
    Tan, Ziya / Karaköse, Mehmet | BASE
    Schlagwörter: Deep Reinforcement Learning , Deep Learning

    Shared control of robot manipulators with obstacle avoidance: a deep reinforcement learning approach

    Freier Zugriff
    Rubagotti, Matteo / Sangiovanni, Bianca / Nurbayeva, Aigerim et al. | BASE | 2023
    Schlagwörter: Deep learning , Reinforcement learning

    Real-world ride-hailing vehicle repositioning using deep reinforcement learning

    Jiao, Yan / Tang, Xiaocheng / Qin, Zhiwei (Tony) et al. | Elsevier | 2021
    Schlagwörter: Deep reinforcement learning

    Autonomous Driving using Deep Reinforcement Learning in Urban Environment

    Freier Zugriff
    Hashim Shakil Ansari / Goutam R | BASE | 2019
    Schlagwörter: Deep Reinforcement Learning (DRL) , Reinforcement Learning (RL)

    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

    Towards a Robot Simulation Framework for E-waste Disassembly Using Reinforcement Learning

    Freier Zugriff
    Brohus Kristensen, Christoffer / Arentz Sørensen, Frederik / Bjørn Dalgaard Brandt Nielsen, Hjalte et al. | BASE | 2019
    Schlagwörter: Deep Reinforcement Learning , Reinforcement Learning , Machine Learning

    Towards real-time reinforcement learning control of a wave energy converter

    Freier Zugriff
    Anderlini, E / Husain, S / Parker, GG et al. | BASE | 2020
    Schlagwörter: reinforcement learning , deep reinforcement learning , deep learning

    Coordination and communication in deep multi-agent reinforcement learning

    Freier Zugriff
    Schroeder de Witt, CA | BASE | 2022
    Schlagwörter: Deep Multi-Agent Reinforcement Learning , Reinforcement learning

    Deep Reinforcement Learning in Decision-Making of Autonomous Driving: A Survey

    Freier Zugriff
    Cai, Jizhou | BASE | 2023
    Schlagwörter: Deep Learning , Reinforcement Learning

    Deep dispatching: A deep reinforcement learning approach for vehicle dispatching on online ride-hailing platform

    Liu, Yang / Wu, Fanyou / Lyu, Cheng et al. | Elsevier | 2022
    Schlagwörter: Deep reinforcement learning

    CT-DQN: Control-Tutored Deep Reinforcement Learning

    Freier Zugriff
    De Lellis, Francesco / Coraggio, Marco / Russo, Giovanni et al. | BASE | 2023
    Schlagwörter: Reinforcement learning based control , deep reinforcement learning

    Self-learning Processes in Smart Factories:Deep Reinforcement Learning for Process Control of Robot Brine Injection

    Freier Zugriff
    Andersen, Rasmus Eckholdt / Madsen, Steffen / Barlo, Alexander Bendix Krukow et al. | BASE | 2019
    Schlagwörter: Deep Reinforcement Learning , Self-learning Smart Factories , Machine Learning , Reinforcement Learning

    Automated vehicle’s behavior decision making using deep reinforcement learning and high-fidelity simulation environment

    Ye, Yingjun / Zhang, Xiaohui / Sun, Jian | Elsevier | 2019
    Schlagwörter: Deep reinforcement learning

    ACNMP: Skill Transfer and Task Extrapolation through Learning from Demonstration and Reinforcement Learning via Representation Sharing

    Freier Zugriff
    Akbulut, Mete Tuluhan / Oztop, Erhan / Seker, Yunus et al. | BASE | 2020
    Schlagwörter: Learning From Demonstration , Deep Learning , Reinforcement Learning , Representation Learning