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Verstärkung
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XGBoost Gradient-Boosted Tree Predictions Using Limited Data for Coaxial Rotor Helicopters
Worst-Case Analysis of Complex Nonlinear Flight Control Designs Using Deep Q-Learning
Utilizing Reinforcement Learning to Continuously Improve a Primitive-Based Motion Planner
Unmanned Aircraft Systems Airspace Integration: A Game Theoretical Framework for Concept Evaluations
Taxi-Out Time Prediction Model at Charles de Gaulle Airport
Switching Flight Control for Incremental Model-Based Dual Heuristic Dynamic Programming
Swarm Intelligence in Cooperative Environments: -Step Dynamic Tree Search Algorithm Overview
Stable Optimal Feedback Control for Landers Based on Machine Learning
Single-Agent Reinforcement Learning for Scalable Earth-Observing Satellite Constellation Operations
Simplified Approach for Modeling Conflict Resolution Behavior of Human Pilot
Self-Learning MAV Under Safety-Guaranteed Flight Test Environment
Selecting Minimal Motion Primitive Libraries with Genetic Algorithms
Run Time Assured Reinforcement Learning for Safe Satellite Docking
Risk-Aware Markov Decision Process Contingency Management Autonomy for Uncrewed Aircraft Systems
Reinforcement Learning of Morphing Airfoils with Aerodynamic and Structural Effects
Reinforcement Learning of a Morphing Airfoil-Policy and Discrete Learning Analysis