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LOW-THRUST TRAJECTORY DESIGN USING STATE-DEPENDENT CLOSED-LOOP CONTROL LAWS AND REINFORCEMENT LEARNING
LOW-THRUST TRAJECTORY DESIGN USING STATE-DEPENDENT CLOSED-LOOP CONTROL LAWS AND REINFORCEMENT LEARNING
2020
Harry Holt
Roberto Armellin
Nicola Baresi
Andrea Scorsoglio
Roberto Furfaro
Keywords:
Thrust
state dependent
Control theory
Trajectory
Reinforcement learning
Computer science
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