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    Survey of machine learning techniques in spacecraft control design

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

    Reinforcement learning to adjust parametrized motor primitives to new situations

    Free access
    Kober, J. / Wilhelm, A. / Öztop, Erhan et al. | BASE | 2012
    Keywords: Skill learning , Reinforcement learning , Policy learning

    Adaptive guidance and integrated navigation with reinforcement meta-learning

    Gaudet, Brian / Linares, Richard / Furfaro, Roberto | Elsevier | 2020
    Keywords: Meta learning , Reinforcement 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
    Keywords: 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
      Keywords: deep learning , probabilistic learning , deep Bayesian belief network learning

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

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

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

    Free access
    Gabriele Tiboni / Karol Arndt / Ville Kyrki | BASE | 2023
    Keywords: Robot learning , Transfer learning , Reinforcement learning

    GIS-based ensemble soft computing models for landslide susceptibility mapping

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

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

    Free access
    PESARE, ENRICA / ROSELLI, Teresa / CORRIERO, NICOLA et al. | BASE | 2016
    Keywords: Smart Learning Environment , Game-based learning

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

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

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

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

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

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

    Reinforcement Learning for Robotic Grasping and Manipulation: A Review

    Free access
    Donepudi, Praveen Kumar | BASE | 2020
    Keywords: Machine learning , Reinforcement learning

    Deep Reinforcement Learning for Drone Delivery

    Free access
    Guillem Muñoz / Cristina Barrado / Ender Çetin et al. | DOAJ | 2019
    Keywords: deep learning , reinforcement learning , Q-learning

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

    Free access
    Rubagotti, Matteo / Sangiovanni, Bianca / Nurbayeva, Aigerim et al. | BASE | 2023
    Keywords: Deep learning , Reinforcement learning

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

    Free access
    Serhat Sönmez / Matthew J. Rutherford / Kimon P. Valavanis | DOAJ | 2024
    Keywords: offline learning , online learning , reinforcement learning , deep learning , machine learning

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

    Free access
    Brejl, Rasmus / Purwins, Hendrik / Schoenau-Fog, Henrik | BASE | 2018
    Keywords: Reinforcement Learning , Deep Learning , Q-Learning , Deep Recurrent Q-Learning

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

    Free access
    Hoyos, Jose / Prieto, Flavio / Alenyà Ribas, Guillem et al. | BASE | 2016
    Keywords: 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

      Free access
      Hoyos, Jose / Prieto, Flavio / Alenyà, Guillem et al. | BASE | 2016
      Keywords: Robot learning , Incremental learning

    Relational reinforcement learning for planning with exogenous effects

    Free access
    Martínez, David / Alenyà, Guillem / Ribeiro, Tony et al. | BASE | 2017
    Keywords: Learning models for planning , Active learning , Robot 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
    Keywords: Reinforcement Learning , Temporal Difference Learning

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