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    XGBoost Gradient-Boosted Tree Predictions Using Limited Data for Coaxial Rotor Helicopters

    Seidel, Cory A. / Genter, Ethan / Peters, David A. | AIAA | 2021
    Schlagwörter: Reinforcement Learning

    Verification of Image-Based Neural Network Controllers Using Generative Models

    Katz, Sydney M. / Corso, Anthony L. / Strong, Christopher A. et al. | AIAA | 2022
    Schlagwörter: Machine Learning

    Utilizing Reinforcement Learning to Continuously Improve a Primitive-Based Motion Planner

    Goddard, Zachary C. / Wardlaw, Kenneth / Williams, Kyle et al. | AIAA | 2022
    Schlagwörter: Reinforcement Learning

    Using Deep Learning to Predict Unstable Approaches for General Aviation Aircraft

    Jain, Tanish / Misra, Shlok / Truong, Dothang | AIAA | 2022
    Schlagwörter: Machine Learning

    Two-Phase Neural Combinatorial Optimization with Reinforcement Learning for Agile Satellite Scheduling

    Zhao, Xuexuan / Wang, Zhaokui / Zheng, Gangtie | AIAA | 2020
    Schlagwörter: Reinforcement Learning

    Taxi-Out Time Prediction Model at Charles de Gaulle Airport

    Herrema, Floris / Curran, Richard / Visser, Hendrikus et al. | AIAA | 2018
    Schlagwörter: Reinforcement Learning

    Swarm Intelligence in Cooperative Environments: n -Step Dynamic Tree Search Algorithm Overview

    Espinós Longa, Marc / Tsourdos, Antonios / Inalhan, Gokhan | AIAA | 2023
    Schlagwörter: Reinforcement Learning

    Special Issue on Aerospace and Mechanical Applications of Reinforcement Learning and Adaptive Learning Based Control

    AIAA | 2014
    Schlagwörter: Reinforcement Learning

    Spatiotemporal Image-Based Flight Trajectory Clustering Model with Deep Convolutional Autoencoder Network

    Liu, Ye / Ng, Kam K. H. / Chu, Nana et al. | AIAA | 2023
    Schlagwörter: Deep Learning

    Small-Data-Driven Multitask Computational Guidance for Constrained Impact

    Luo, Haowen / He, Shaoming | AIAA | 2024
    Schlagwörter: Reinforcement Learning

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