Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

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



    Conference:

    AIAA Scitech 2021 Forum



    Publication date :

    2021-01-01



    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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

    Goddard, Zachary C. / Wardlaw, Kenneth / Williams, Kyle et al. | AIAA | 2022


    UTILIZING REINFORCEMENT LEARNING TO CONTINUOUSLY IMPROVE A PRIMITIVE-BASED MOTION PLANNER

    Goddard, Zachary C. / Wardlaw, Kenneth / Krishnan, Rohith et al. | TIBKAT | 2021



    Motion-Primitive based Deep Reinforcement Learning for High Speed Aerospace Vehicle Missions

    Levin, Winston C. / Nolan, Sean M. / Raz, Ali K. et al. | AIAA | 2023


    VEHICLE MOTION PLANNER

    CHOI JIWUNG | European Patent Office | 2024

    Free access