Machine learning and evolutionary techniques in interplanetary
trajectory design

v1v2 (latest)

Machine learning and evolutionary techniques in interplanetary trajectory design

1 February 2018

Christopher Iliffe Sprague

Dharmesh Tailor

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Papers citing "Machine learning and evolutionary techniques in interplanetary trajectory design"

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Title
Feasible Low-thrust Trajectory Identification via a Deep Neural Network Classifier Ruida Xie A. Dempster 28 1 0 10 Feb 2022
Integrating Machine Learning for Planetary Science: Perspectives for the Next Decade A. Azari J. Biersteker R. Dewey Gary Doran Emily J. Forsberg ... V. D. Poian T. Garton Michael D. Himes S. Millholland S. Ruhunusiri AI4Cl 48 30 0 29 Jul 2020
Solar-Sail Trajectory Design for Multiple Near Earth Asteroid Exploration Based on Deep Neural Networks Yu Song Shengping Gong 25 62 0 08 Jan 2019
Learning the optimal state-feedback via supervised imitation learning Dharmesh Tailor Dario Izzo 89 38 0 07 Jan 2019
A Survey on Artificial Intelligence Trends in Spacecraft Guidance Dynamics and Control Dario Izzo Marcus Märtens Binfeng Pan AI4CE 73 211 0 07 Dec 2018
Adding Neural Network Controllers to Behavior Trees without Destroying Performance Guarantees Christopher Iliffe Sprague Petter Ögren 67 25 0 26 Sep 2018