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Deep Reinforcement Learning Approach for Integrated Updraft Mapping and Exploitation
Image-Based Meta-Reinforcement Learning for Autonomous Guidance of an Asteroid Impactor
Machine-Learning-Assisted Optimization of Aircraft Trajectories Under Realistic Constraints
Neural-Based Predictive Control for Safe Autonomous Spacecraft Relative Maneuvers
Generalized Triangle Guidance for Safeguarding Target Using Barrier Lyapunov Function
Simulation-driven design of a fast monohull
Study on CO2 Emission Assessment of Heavy-Duty and Ultra-Heavy-Duty Vehicles Using Machine Learning
Supervised vs. Unsupervised Learning for Operator State Modeling in Unmanned Vehicle Settings