z-logo
open-access-imgOpen Access
Implementation of Hypersonic Motion Primitives for Reinforcement Learning Using Optimal Control Theory.
Author(s) -
Sean M. Nolan,
Matthew Lanier,
Andrew Haines,
Linus Mockus,
Kristopher Ezra,
Ali K. Raz,
Kyle Williams,
Julie Parish
Publication year - 2020
Publication title -
osti oai (u.s. department of energy office of scientific and technical information)
Language(s) - English
Resource type - Conference proceedings
DOI - 10.2172/1837136
Subject(s) - reinforcement learning , computer science , motion (physics) , motion control , hypersonic speed , control (management) , control engineering , artificial intelligence , aerospace engineering , engineering , robot

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom