1–50 von 6,616 Ergebnissen
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    Survey of machine learning techniques in spacecraft control design

    Shirobokov, Maksim / Trofimov, Sergey / Ovchinnikov, Mikhail | Elsevier | 2021
    Schlagwörter: Machine learning , Supervised learning , Reinforcement learning

    Adaptive guidance and integrated navigation with reinforcement meta-learning

    Gaudet, Brian / Linares, Richard / Furfaro, Roberto | Elsevier | 2020
    Schlagwörter: Meta learning , 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

    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

    Deep BBN Learning for Health Assessment toward Decision-Making on Structures under Uncertainties

    Pan, Hong / Gui, Guoqing / Lin, Zhibin et al. | Springer Verlag | 2018
    Schlagwörter: deep learning , probabilistic learning , deep Bayesian belief network learning

      Deep BBN Learning for Health Assessment toward Decision-Making on Structures under Uncertainties

      Pan, Hong / Gui, Guoqing / Lin, Zhibin et al. | Online Contents | 2018
      Schlagwörter: deep learning , probabilistic learning , deep Bayesian belief network 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

    GIS-based ensemble soft computing models for landslide susceptibility mapping

    Pham, Binh Thai / Phong, Tran Van / Nguyen-Thoi, Trung et al. | Elsevier | 2020
    Schlagwörter: Machine learning , Ensembles 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

    Traffic speed prediction for intelligent transportation system based on a deep feature fusion model

    Li, Linchao / Qu, Xu / Zhang, Jian et al. | Taylor & Francis Verlag | 2019
    Schlagwörter: deep learning , machine 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

    Integrating big data analytics in autonomous driving: An unsupervised hierarchical reinforcement learning approach

    Mao, Zhiqi / Liu, Yang / Qu, Xiaobo | Elsevier | 2024
    Schlagwörter: Reinforcement learning , Deep learning , Unsupervised skill learning

    Reinforcement learning approach for train rescheduling on a single-track railway

    Šemrov, D. / Marsetič, R. / Žura, M. et al. | Elsevier | 2015
    Schlagwörter: Reinforcement learning , Q-learning

    Knowledge Augmented Machine Learning with Applications in Autonomous Driving: A Survey

    Freier Zugriff
    Wörmann, Julian / Bogdoll, Daniel / Bührle, Etienne et al. | Deutsches Zentrum für Luft- und Raumfahrt (DLR) | 2022
    Schlagwörter: Informed Machine Learning , Machine Learning , Knowledge Augmented Machine Learning , Knowledge-driven Machine Learning

    Reinforcement Learning for Robotic Grasping and Manipulation: A Review

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

    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 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

    Video demonstration of: Model-based versus Model-free Deep Reinforcement Learning for Autonomous Racing Cars

    Freier Zugriff
    Brunnbauer, Axel / Berducci, Luigi / Brandstätter, Andreas et al. | BASE | 2021
    Schlagwörter: Reinforcement Learning , Deep Learning Methods , Machine Learning for Robot Control

    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

    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

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

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

    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

    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

    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

    Conditional Neural Movement Primitives

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

    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

      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)

    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

    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

    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

    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

    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

    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

    Deep Reinforcement Learning for Mobile Robot Navigation

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

    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

    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

    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

    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

    Enhancing discrete choice models with representation learning

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

    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

    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