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1–50 von 1,641 Ergebnissen
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    A Multi-Agent Simulation of Serious Games to Predict Their Impact on E-Learning Processes

    Freier Zugriff
    Ibtissem Daoudi / Raoudha Chebil / Wided Lejouad Chaari | BASE | 2017
    Schlagwörter: learning process

    Identification of the Students Learning Process During Education Robotics Activities

    Freier Zugriff
    Scaradozzi D. / Cesaretti L. / Screpanti L. et al. | BASE | 2020
    Schlagwörter: learning analytic , learning process identification

    A comparison of machine learning classifiers for energy-efficient implementation of seizure detection

    Freier Zugriff
    Manzouri, Farrokh / Heller, Simon / Dümpelmann, Matthias et al. | BASE | 2018
    Schlagwörter: Maschinelles Lernen

    Simulation-driven machine learning for robotics and automation

    Freier Zugriff
    El-Shamouty, Mohamed / Kleeberger, Kilian / Lämmle, Arik et al. | BASE | 2019
    Schlagwörter: Bestärkendes Lernen , maschinelles 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 to adjust parametrized motor primitives to new situations

    Freier Zugriff
    Kober, J. / Wilhelm, A. / Öztop, Erhan et al. | BASE | 2012
    Schlagwörter: Skill learning , Reinforcement learning , Policy learning

    Game-based learning and Gamification to promote engagement and motivation in medical learning contexts

    Freier Zugriff
    PESARE, ENRICA / ROSELLI, Teresa / CORRIERO, NICOLA et al. | BASE | 2016
    Schlagwörter: Smart Learning Environment , Game-based learning

    DROPO: Sim-to-real transfer with offline domain randomization

    Freier Zugriff
    Gabriele Tiboni / Karol Arndt / Ville Kyrki | BASE | 2023
    Schlagwörter: Robot learning , Transfer learning , 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

    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

    Deep Reinforcement Learning for Drone Delivery

    Freier Zugriff
    Guillem Muñoz / Cristina Barrado / Ender Çetin et al. | DOAJ | 2019
    Schlagwörter: deep learning , reinforcement learning , Q-learning

    Relational reinforcement learning for planning with exogenous effects

    Freier Zugriff
    Martínez, David / Alenyà, Guillem / Ribeiro, Tony et al. | BASE | 2017
    Schlagwörter: Learning models for planning , Active learning , Robot learning

    Reinforcement Learning for Robotic Grasping and Manipulation: A Review

    Freier Zugriff
    Donepudi, Praveen Kumar | BASE | 2020
    Schlagwörter: Machine learning , Reinforcement learning

    A Survey of Offline- and Online-Learning-Based Algorithms for Multirotor Uavs

    Freier Zugriff
    Serhat Sönmez / Matthew J. Rutherford / Kimon P. Valavanis | DOAJ | 2024
    Schlagwörter: offline learning , online learning , reinforcement learning , deep learning , machine 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

    Quantifying Teaching Behavior in Robot Learning from Demonstration

    Freier Zugriff
    Sena, Aran / Howard, Matthew | BASE | 2020
    Schlagwörter: learning from demonstration , machine learning , imitation learning , learning from examples

    A reinforcement learning model for personalized driving policies identification

    Freier Zugriff
    Dimitris M. Vlachogiannis / Eleni I. Vlahogianni / John Golias | DOAJ | 2020
    Schlagwörter: Reinforcement learning , Q-learning , Machine learning

    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

    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

    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

    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

    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

    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

    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

    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

    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

    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

    An Authoring Tool for Generating Context Awareness Mobile Game Based Learning

    Freier Zugriff
    Bennis, Lamyae / Kandali, Khalid / Bennis, Hamid | BASE | 2022
    Schlagwörter: Game-Based Learning , Technology-Enhanced Learning , Mobile-Game-Based Learning , m-learning

    Phi-Net: Deep Residual Learning for InSAR Parameters Estimation

    Freier Zugriff
    Sica, Francescopaolo / Gobbi, Giorgia / Rizzoli, Paola et al. | Deutsches Zentrum für Luft- und Raumfahrt (DLR) | 2020
    Schlagwörter: Residual Learning , Deep Learning

    Multi-expert synthesis for versatile locomotion and manipulation skills

    Freier Zugriff
    Yuan, K / Li, Z | BASE | 2022
    Schlagwörter: multi-expert learning , reinforcement learning , robot learning

    Designing and quality testing of “Digichip” virtual simulation software of Android platform for mobile-virtual learning supporting vocational mechatronics engineering

    Freier Zugriff
    Hadi, Titih Rejyasmito / Marpanaji, Eko | BASE | 2019
    Schlagwörter: virtual learning , mobile learning

    A new approach to contextual learning using interval arithmetic and its applications for land-use classification

    Freier Zugriff
    Pereira, Danillo Roberto / Papa, Joao Paulo | BASE | 2016
    Schlagwörter: Sequential learning , Contextual learning

    Towards lifelong assistive robotics: a tight coupling between object perception and manipulation

    Freier Zugriff
    Hamidreza Kasaei, S. / Oliveira, Miguel / Lim, Gi Hyun et al. | BASE | 2018
    Schlagwörter: Open-ended learning , Interactive learning

    Robust Attitude Control of an Agile Aircraft Using Improved Q-Learning

    Freier Zugriff
    Zahmatkesh M. / Emami S. A. / Banazadeh A. et al. | BASE | 2022
    Schlagwörter: fuzzy q-learning , q-learning , reinforcement learning

    Reinforcement Learning to Train Ms. Pac-Man Using Higher-order Action-relative Inputs

    Freier Zugriff
    Bom, Luuk / Henken, Ruud / Wiering, Marco | BASE | 2013
    Schlagwörter: Reinforcement learning , Machine learning

    VIRTUAL REALITY IN EDUCATION: TRENDS AND ISSUES

    Freier Zugriff
    Omieno, Kelvin Kabeti / Wabwoba, Franklin / Matoke, Nahason | BASE | 2013
    Schlagwörter: Institutions of higher learning , virtual learning environments , learning and cognition

    Machine learning and deep learning

    Freier Zugriff
    Janiesch, Christian / Zschech, Patrick / Heinrich, Kai | Online Contents | 2021
    Schlagwörter: Deep 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

    An End-to-End Curriculum Learning Approach for Autonomous Driving Scenarios

    Freier Zugriff
    Anzalone, L / Barra, P / Barra, S et al. | BASE | 2022
    Schlagwörter: Reinforcement learning , curriculum 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)

    A review of deep learning methods and applications for unmanned aerial vehicles

    Freier Zugriff
    Carrio, Adrián / Sampedro, Carlos / Rodriguez-Ramos, A. et al. | BASE | 2017
    Schlagwörter: Deep learning

    Reinforcement Learning for Ramp Control: An Analysis of Learning Parameters

    Freier Zugriff
    Chao Lu / Jie Huang / Jianwei Gong | DOAJ | 2016
    Schlagwörter: reinforcement learning , Q-learning , ent learning

    Learning through policy transfer? Reviewing a decade of scholarship for the field of transport

    Freier Zugriff
    Glaser, Meredith / Bertolini, Luca / te Brömmelstroet, Marco et al. | Taylor & Francis Verlag | 2022
    Schlagwörter: policy learning , learning

    Local Motion Planner for Autonomous Navigation in Vineyards with a RGB-D Camera-Based Algorithm and Deep Learning Synergy

    Freier Zugriff
    Aghi, Diego / Mazzia, Vittorio / Chiaberge, Marcello | BASE | 2020
    Schlagwörter: deep learning , transfer learning

    A Transfer Learning Approach to Cross-modal Object Recognition: from Visual Observation to Robotic Haptic Exploration

    Freier Zugriff
    Falco, Pietro / Lu, Shuang / Pirozzi, Salvatore et al. | Deutsches Zentrum für Luft- und Raumfahrt (DLR) | 2019
    Schlagwörter: Robot Learning

    Learning hybrid locomotion skills—Learn to exploit residual actions and modulate model-based gait control

    Freier Zugriff
    Kasaei, M / Abreu, M / Lau, N et al. | BASE | 2023
    Schlagwörter: deep reinforcement learning (DRL) , learning motor skills , learning residual actions