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Deep Reinforcement Learning for Autonomous Aerobraking Maneuver Planning
Giusy Falcone
, Zachary R. Putnam
Aerospace Engineering
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Dive into the research topics of 'Deep Reinforcement Learning for Autonomous Aerobraking Maneuver Planning'. Together they form a unique fingerprint.
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Keyphrases
Aerobraking
100%
Deep Reinforcement Learning (deep RL)
100%
Maneuver Planning
100%
Reinforcement Learning Approach
22%
Mars Odyssey
22%
Thermal Violation
22%
Three-dimensional (3D)
11%
Over 40
11%
Simulation-based
11%
Learning Process
11%
Parallel Simulation
11%
Learning Algorithm
11%
Operating Cost
11%
Learnability
11%
Reward Function
11%
Learning Architecture
11%
Atmospheric Drag
11%
Ground Station
11%
Potential Errors
11%
Exploration Method
11%
Aggressive Environment
11%
Environment Condition
11%
Mission Performance
11%
Robust Decision Making
11%
Heat Rate
11%
Orbit Change
11%
Deep Q-learning
11%
DRL Algorithm
11%
Partially Observable Environment
11%
Maneuver Decision
11%
Stable Learning
11%
Engineering
Aerobraking
100%
Reinforcement Learning
100%
Learning Approach
22%
Directional
11%
Observables
11%
Learning Algorithm
11%
Heat Rate
11%
Operational Cost
11%
Potential Error
11%
Atmospheric Drag
11%