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101–150 von 7,009 Ergebnissen
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    Deep Reinforcement Learning in Decision-Making of Autonomous Driving: A Survey

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

    Zustandsüberwachung mit Regelfahrzeugen

    Freier Zugriff
    Alten, Karoline / Fuchs, Andreas / Struhar, Jan et al. | Deutsches Zentrum für Luft- und Raumfahrt (DLR) | 2022
    Schlagwörter: Machinelles Lernen

    Unsupervised pattern discovery in automotive time series : pattern-based construction of representative driving cycles

    Noering, Fabian Kai Dietrich / Technische Universität Braunschweig / Springer Fachmedien Wiesbaden | TIBKAT | 2022
    Schlagwörter: Unüberwachtes Lernen

    Efficient and Stable Online Learning for Developmental Robots

    Rayyes, Rania | DataCite | 2021
    Schlagwörter: Developmental robots, online learning, intrinsic motivation, learning from observation, sample-efficiency, associative network, lifelong learning , Online-Lernen, intrinsische Motivation, Lernen durch Beobachten, Sampling-Effizienz, assoziative Netze, lebenslanges Lernen

    A Numerical Methodology for the Multi-objective Optimization of the DI Diesel Engine Combustion

    Costa, Marco / Bianchi, Gian Marco / Forte, Claudio et al. | Tema Archiv | 2014
    Schlagwörter: Lernprozess

    Implementasi Problem Based Learning (PBL) menggunakan Virtual Dan Real Lab Ditinjau dari Gaya Belajar Untuk Meningkatkan Hasil Belajar Siswa

    Freier Zugriff
    Sianturi, Jubelli / Panggabean, Freddy Tua Musa | BASE | 2019
    Schlagwörter: Problem Based Learning , Learning Outcomes , Learning Styles

    Efficient learning of robust quadruped bounding using pretrained neural networks

    Freier Zugriff
    Wang, Z / Li, A / Zheng, Y et al. | BASE | 2022
    Schlagwörter: reinforcement learning , robot learning

    International Maritime Management: Serving the seafarers of tomorrow and their educational needs

    Freier Zugriff
    Nause, Nicolas / Klimmek, Elisabeth / John, Peter et al. | Fraunhofer Publica | 2019
    Schlagwörter: adult learning , distance learning , visible learning

    Exploring Deep Recurrent Q-Learning for Navigation in a 3D Environment

    Freier Zugriff
    Brejl, Rasmus / Purwins, Hendrik / Schoenau-Fog, Henrik | BASE | 2018
    Schlagwörter: Reinforcement Learning , Deep Learning , Q-Learning , Deep Recurrent Q-Learning

    2021 IEEE Cognitive Communications for Aerospace Applications Workshop (CCAAW) : 21-23 June 2021

    IEEE Cognitive Communications for Aerospace Applications Workshop / Institute of Electrical and Electronics Engineers | TIBKAT | 2021
    Schlagwörter: Maschinelles Lernen

    Conditional Neural Movement Primitives

    Freier Zugriff
    M. Yunus Seker / Mert Imre / Justus Piater et al. | BASE | 2019
    Schlagwörter: Learning from demonstration , Deep learning

    Learning tactile skills through curious exploration

    Freier Zugriff
    Pape, Leo / Förster, Alexander / Schmidhuber, Jürgen et al. | BASE | 2012
    Schlagwörter: Active learning , Reinforcement learning , Skill learning

    A machine learning-based framework for high resolution mapping of PM2.5 in Tehran, Iran, using MAIAC AOD data

    Bagheri, Hossein | Elsevier | 2022
    Schlagwörter: Machine learning , Deep learning

    Kinestetinis mokymasis nuotoliniu būdu, panaudojant virtualiąją realybę ; Kinesthetic distance learning using virtual reality

    Freier Zugriff
    Paulauskas, Lukas | BASE | 2021
    Schlagwörter: distance learning , kinesthetic learning

      Kinestetinis mokymasis nuotoliniu būdu, panaudojant virtualiąją realybę ; Kinesthetic distance learning using virtual reality

      Freier Zugriff
      Paulauskas, Lukas | BASE | 2021
      Schlagwörter: distance learning , kinesthetic learning

      Kinestetinis mokymasis nuotoliniu būdu, panaudojant virtualiąją realybę ; Kinesthetic distance learning using virtual reality

      Freier Zugriff
      Paulauskas, Lukas | BASE | 2021
      Schlagwörter: distance learning , kinesthetic learning

    Opponent modelling in the game of tron using reinforcement learning

    Freier Zugriff
    Knegt, S.J.L. / Drugan, M.M. / Wiering, M.A. | BASE | 2018
    Schlagwörter: Q-learning , Reinforcement Learning

    Incremental learning of skills in a task-parameterized Gaussian Mixture Model

    Freier Zugriff
    Hoyos, Jose / Prieto, Flavio / Alenyà Ribas, Guillem et al. | BASE | 2016
    Schlagwörter: Robot learning , Incremental learning , learning (artificial intelligence) , Classificació INSPEC::Cybernetics::Artificial intelligence::Learning (artificial intelligence)

      Incremental learning of skills in a task-parameterized Gaussian mixture model

      Freier Zugriff
      Hoyos, Jose / Prieto, Flavio / Alenyà, Guillem et al. | BASE | 2016
      Schlagwörter: Robot learning , Incremental learning

    Learning Complex Motor Skills for Legged Robot Fall Recovery

    Freier Zugriff
    Yang, C / Pu, C / Xin, G et al. | BASE | 2023
    Schlagwörter: Machine learning for robot control , reinforcement learning , sensorimotor learning

    Traffic Flow Prediction Based on Cooperative Vehicle Infrastructure for Cloud Control Platform

    Chen, Chen / Zhang, Jingming / Chen, Qiushi et al. | SAE Technical Papers | 2020
    Schlagwörter: Machine learning

    2023 IEEE Cognitive Communications for Aerospace Applications Workshop (CCAAW) : 20-22 June 2023 : conference location: Cleveland, Ohio, USA

    IEEE Cognitive Communications for Aerospace Applications Workshop / Institute of Electrical and Electronics Engineers | TIBKAT | 2023
    Schlagwörter: Maschinelles Lernen

    Kurzbericht zum Projekt "KI-basierte Fahrwerksregelung KIFAHR"

    Freier Zugriff
    Ultsch, Johannes / Tobolar, Jakub / Ruggaber, Julian et al. | TIBKAT | 2023
    Schlagwörter: Bestärkendes Lernen (Künstliche Intelligenz)

      Kurzbericht zum Projekt "KI-basierte Fahrwerksregelung KIFAHR"

      Ultsch, Johannes / Tobolar, Jakub / Ruggaber, Julian et al. | TIBKAT | 2023
      Schlagwörter: Bestärkendes Lernen (Künstliche Intelligenz)

    Robotic Mission to Mars: Hands-on, minds-on, web-based learning

    Mathers, Naomi / Goktogen, Ali / Rankin, John et al. | Elsevier | 2012
    Schlagwörter: Scenario-based learning , Problem-based learning , Hands-on learning , 21st century learning , On-line learning

    Diagnostic Evaluation of Policy-Gradient-Based Ranking

    Freier Zugriff
    Yu, Hai-Tao / Huang, Degen / Ren, Fuji et al. | BASE | 2022
    Schlagwörter: learning-to-rank , reinforcement learning , adversarial learning

    Sensorbasiertes Parkleitsystem mit Umfelderfassung zur Navigation und Belegungserkennung einzelner Parkplätze

    Tschentscher, Marc Philipp / Ruhr-Universität Bochum | TIBKAT | 2017
    Schlagwörter: Maschinelles Lernen

      Sensorbasiertes Parkleitsystem mit Umfelderfassung zur Navigation und Belegungserkennung einzelner Parkplätze

      Tschentscher, Marc Philipp / Ruhr-Universität Bochum | TIBKAT | 2017
      Schlagwörter: Maschinelles Lernen

    Hierarchical Optimization Control and Robust Imitation Learning for Manipulation

    Freier Zugriff
    Hu, Yingbai | TIBKAT | 2022
    Schlagwörter: Maschinelles Lernen

    Benchmarking von Verhaltens-Algorithmen für die Applikation in Motorsport-Szenarien

    Freier Zugriff
    Sippel, Marco | TIBKAT | 2022
    Schlagwörter: Maschinelles Lernen

    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

    A Two-Stage Learning Architecture That Generates High-Quality Grasps for a Multi-Fingered Hand

    Freier Zugriff
    Winkelbauer, Dominik / Bäuml, Berthold / Humt, Matthias et al. | Deutsches Zentrum für Luft- und Raumfahrt (DLR) | 2022
    Schlagwörter: Machine Learning , Deep Learning

    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

    Maximum Likelihood Uncertainty Estimation: Robustness to Outliers

    Freier Zugriff
    Nair, Deebul / Hochgeschwender, Nico / Olivares-Mendez, Miguel | Deutsches Zentrum für Luft- und Raumfahrt (DLR) | 2022
    Schlagwörter: Machine Learning , Deep 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

    A Method of Reinforcement Learning Based Automatic Traffic Signal Control

    Wang, Yaping / Zhang, Zheng | Tema Archiv | 2011
    Schlagwörter: Lernen , verstärktes Lernen

    A methodology for photometric validation in vehicles visual interactive systems

    Faria, A.W.C. / Menotti, D. / Pappa, G.L. et al. | Tema Archiv | 2012
    Schlagwörter: Lernen , maschinelles Lernen