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Worst-Case Analysis of Complex Nonlinear Flight Control Designs Using Deep Q-Learning
Switching Flight Control for Incremental Model-Based Dual Heuristic Dynamic Programming
Supervised vs. Unsupervised Learning for Operator State Modeling in Unmanned Vehicle Settings
Simultaneous Learning Optimization of Hamiltonian Systems and Trajectory Tracking Around an Asteroid
Reinforcement Learning of Morphing Airfoils with Aerodynamic and Structural Effects
Reinforcement Learning of a Morphing Airfoil-Policy and Discrete Learning Analysis
Reinforcement Learning for Robust Trajectory Design of Interplanetary Missions
Reinforcement Learning for Characterizing Hysteresis Behavior of Shape Memory Alloys
Optimal Planetary Surface Routing Considering Exploration Values and Synergies
Neural-Based Predictive Control for Safe Autonomous Spacecraft Relative Maneuvers
Machine-Learning-Assisted Optimization of Aircraft Trajectories Under Realistic Constraints
Long Short-Term Memory for Spatial Encoding in Multi-Agent Path Planning§
Image-Based Meta-Reinforcement Learning for Autonomous Guidance of an Asteroid Impactor
Generalized Triangle Guidance for Safeguarding Target Using Barrier Lyapunov Function
Fixed Structure Policy-Based Model Predictive Control
Filtered Integral Formulation of the Sparse Model Identification Problem