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Furfaro, Roberto   Federici, Lorenzo   Linares, Richard   Englisch   Auswahl aufheben

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    Adaptive generalized ZEM-ZEV feedback guidance for planetary landing via a deep reinforcement learning approach

    Furfaro, Roberto / Scorsoglio, Andrea / Linares, Richard et al. | Elsevier | 2020
    Schlagwörter: Deep reinfocement learning

    Adaptive guidance and integrated navigation with reinforcement meta-learning

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

    A Physic-Informed Neural Network Approach to Orbit Determination

    Scorsoglio, Andrea / Ghilardi, Luca / Furfaro, Roberto | Springer Verlag | 2023
    Schlagwörter: Machine learning

    Autonomous closed-loop guidance using reinforcement learning in a low-thrust, multi-body dynamical environment

    LaFarge, Nicholas B. / Miller, Daniel / Howell, Kathleen C. et al. | Elsevier | 2021
    Schlagwörter: Reinforcement learning

    Autonomous Guidance Between Quasiperiodic Orbits in Cislunar Space via Deep Reinforcement Learning

    Federici, Lorenzo / Scorsoglio, Andrea / Zavoli, Alessandro et al. | AIAA | 2023
    Schlagwörter: Reinforcement Learning

    Deep Learning Techniques for Autonomous Spacecraft Guidance During Proximity Operations

    Federici, Lorenzo / Benedikter, Boris / Zavoli, Alessandro | AIAA | 2021
    Schlagwörter: Reinforcement Learning

    Deep reinforcement learning for six degree-of-freedom planetary landing

    Gaudet, Brian / Linares, Richard / Furfaro, Roberto | Elsevier | 2019
    Schlagwörter: Reinforcement learning

    Image-Based Deep Reinforcement Meta-Learning for Autonomous Lunar Landing

    Scorsoglio, Andrea / D’Ambrosio, Andrea / Ghilardi, Luca et al. | AIAA | 2021
    Schlagwörter: Reinforcement Learning

    Image-Based Meta-Reinforcement Learning for Autonomous Guidance of an Asteroid Impactor

    Federici, Lorenzo / Scorsoglio, Andrea / Ghilardi, Luca et al. | AIAA | 2022
    Schlagwörter: Reinforcement Learning

    Integrated guidance for Mars entry and powered descent using reinforcement learning and pseudospectral method

    Jiang, Xiuqiang / Li, Shuang / Furfaro, Roberto | Elsevier | 2018
    Schlagwörter: Reinforcement learning

    Interplanetary Low-Thrust Design Using Proximal Policy Optimization

    Miller, Daniel / Englander, Jacob A. / Linares, Richard | NTRS | 2019
    Schlagwörter: reinforcement learning

    Meta-reinforcement learning for adaptive spacecraft guidance during finite-thrust rendezvous missions

    Federici, Lorenzo / Scorsoglio, Andrea / Zavoli, Alessandro et al. | Elsevier | 2022
    Schlagwörter: Meta-reinforcement learning

    Modeling irregular small bodies gravity field via extreme learning machines and Bayesian optimization

    Furfaro, Roberto / Barocco, Riccardo / Linares, Richard et al. | Elsevier | 2020
    Schlagwörter: Extreme learning machine

    Optimal Q-laws via reinforcement learning with guaranteed stability

    Holt, Harry / Armellin, Roberto / Baresi, Nicola et al. | Elsevier | 2021
    Schlagwörter: Reinforcement learning

    Reinforcement learning for robust trajectory design of interplanetary missions

    Freier Zugriff
    Zavoli, Alessandro / Federici, Lorenzo | BASE | 2021
    Schlagwörter: reinforcement learning

      Reinforcement Learning for Robust Trajectory Design of Interplanetary Missions

      Zavoli, Alessandro / Federici, Lorenzo | AIAA | 2021
      Schlagwörter: Inverse Reinforcement Learning

    Relative motion guidance for near-rectilinear lunar orbits with path constraints via actor-critic reinforcement learning

    Scorsoglio, Andrea / Furfaro, Roberto / Linares, Richard et al. | Elsevier | 2022
    Schlagwörter: Machine learning , Reinforcement learning

    Robust interplanetary trajectory design under multiple uncertainties via meta-reinforcement learning

    Federici, Lorenzo / Zavoli, Alessandro | Elsevier | 2023
    Schlagwörter: Meta-reinforcement learning

    Six degree-of-freedom body-fixed hovering over unmapped asteroids via LIDAR altimetry and reinforcement meta-learning

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

    Space-Based Sensor Tasking Using Deep Reinforcement Learning

    Freier Zugriff
    Siew, Peng Mun / Jang, Daniel / Roberts, Thomas G. et al. | Springer Verlag | 2022
    Schlagwörter: Deep learning

    Space Objects Classification via Light-Curve Measurements Using Deep Convolutional Neural Networks

    Linares, Richard / Furfaro, Roberto / Reddy, Vishnu | Springer Verlag | 2020
    Schlagwörter: Deep learning

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