Low Speed Airship Control using Reinforcement Learning and Expert Demonstrations-Reference-Cited by-同舟云学术

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Low Speed Airship Control using Reinforcement Learning and Expert Demonstrations

Published:2017-01-05 Issue: Volume: Page:
ISSN:
Container-title:AIAA Atmospheric Flight Mechanics Conference
language:
Short-container-title:

Author:

Daskiran Onur¹,Huff Brian¹,Dogan Atilla¹

Affiliation:

1. University of Texas, Arlington

Publisher

American Institute of Aeronautics and Astronautics

Link

http://arc.aiaa.org/doi/pdf/10.2514/6.2017-0934

Reference21 articles.

1. 2Aneke, N., Control of underactuated mechanical systems, Ph.D. thesis,Technische Universiteit Eindhoven, 2003.

2. 4Rottman, A., Approaches to Online Reinforcement Learning for Miniature Airships, Ph.D. thesis,Albert Ludwigs University of Freiburg, 2012.

3. 5Forbes, J. R. N., Reinforcement learning for autonomous vehicles, Ph.D. thesis, UNIVERSITY of CALIFORNIA atBERKELEY, 2002.

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Station-keeping for high-altitude balloon with reinforcement learning;Advances in Space Research;2022-08

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