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A Machine Learning Solution to Optimal Landing Site Selection and Lander Control
By: Omkar S. Mulekar and Riccardo Bevilacqua.
Pub. 2021,
16pgs.
PDF File.
AAS 20-455.
Price: $29.00
This item is an
electronic document
and will be delivered by email to the address you provide within two business days.
Monte Carlo Tree Search with Value Networks for Autonomous Spacecraft Operations
By: Adam Herrmann and Hanspeter Schaub.
Pub. 2021,
18pgs.
PDF File.
AAS 20-473.
Price: $29.00
This item is an
electronic document
and will be delivered by email to the address you provide within two business days.
Adaptive Continuous Control of Spacecraft Attitude Using Deep Reinforcement Learning
By: Jacob G. Elkins, Rohan Sood, and Clemens Rumpf.
Pub. 2021,
20pgs.
PDF File.
AAS 20-475.
Price: $29.00
This item is an
electronic document
and will be delivered by email to the address you provide within two business days.
Safe Lunar Landing Via Images: A Reinforcement Meta-Learning Application to Autonomous Hazard Avoidance and Landing
By: Andrea Scorsoglio, Andrea D’Ambrosio, Luca Ghilardi, Roberto Furfaro, Brian Gaudet, Richard Linares, and Fabio Curti.
Pub. 2021,
20pgs.
PDF File.
AAS 20-522.
Price: $29.00
This item is an
electronic document
and will be delivered by email to the address you provide within two business days.
Deep Reinforcement Learning for Safe Landing Site Selection with Concurrent Consideration of Divert Maneuvers
By: Keidai Iiyama, Kento Tomita, Bhavi A. Jagatia, Tatsuwaki Nakagawa, and Koki Ho.
Pub. 2021,
20pgs.
PDF File.
AAS 20-583.
Price: $29.00
This item is an
electronic document
and will be delivered by email to the address you provide within two business days.
Low-Thrust Trajectory Design Using State-Dependent Closed-Loop Control Laws and Reinforcement Learning
By: Harry Holt, Roberto Armellin, Nicola Baresi, Andrea Scorsoglio, and Roberto Furfaro.
Pub. 2021,
19pgs.
PDF File.
AAS 20-611.
Price: $29.00
This item is an
electronic document
and will be delivered by email to the address you provide within two business days.
Reinforcement Learning for Low-Thrust Trajectory Design of Interplanetary Missions
By: Alessandro Zavoli and Lorenzo Federici.
Pub. 2021,
20pgs.
PDF File.
AAS 20-616.
Price: $29.00
This item is an
electronic document
and will be delivered by email to the address you provide within two business days.
Using Multi-Objective Deep Reinforcement Learning to Uncover a Pareto Front in Multi-Body Trajectory Design
By: Christopher J. Sullivan and Natasha Bosanac.
Pub. 2021,
20pgs.
PDF File.
AAS 20-689.
Price: $29.00
This item is an
electronic document
and will be delivered by email to the address you provide within two business days.
Formation Keeping for Smallsat Swarms Using Reinforcement Learning
By: Francisco Mendoza, Patrick Doran, and Navid Nakhjiri.
Pub. 2021,
19pgs.
PDF File.
AAS 20-751.
Price: $29.00
This item is an
electronic document
and will be delivered by email to the address you provide within two business days.
Deep Reinforcement Learning to Enhance Fly-Around Guidance for Uncooperative Space Objects Smart Imaging
By: Andrea Brandonisio, Michéle Lavagna, and Davide Guzzetti.
Pub. 2021,
20pgs.
PDF File.
AAS 20-756.
Price: $29.00
This item is an
electronic document
and will be delivered by email to the address you provide within two business days.
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