Reinforcement Learning of a Morphing Airfoil-Policy and Discrete Learning Analysis
Characterization and Control of Hysteretic Dynamics Using Online Reinforcement Learning
Optimal Feedback Guidance of a Small Aerial Vehicle in a Stochastic Wind
Mission-Based Fault Reconfiguration for Spacecraft Applications
Information-Theoretic Motion Planning for Constrained Sensor Networks
Optimization of Directional Sensor Orientation with Application to Sun Sensing
Generalizing Movements with Information-Theoretic Stochastic Optimal Control
Optimal Adaptive Control and Differential Games by Reinforcement Learning Principles
Hybrid Theorem Proving of Aerospace Systems: Applications and Challenges
Human Intent Prediction Using Markov Decision Processes
Adaptable Data Download Schedules for Agile Earth-Observing Satellites
Intelligent Motion Video Guidance for Unmanned Air System Ground Target Surveillance
Bayesian Preference Elicitation for Multiobjective Engineering Design Optimization
Ground Delay Program Analytics with Behavioral Cloning and Inverse Reinforcement Learning
NASA Uncertainty Quantification Challenge: An Optimization-Based Methodology and Validation
Developing Mathematical Formulations for the Integrated Problem of Sensors, Weapons, and Targets
Markov Decision Process Framework for Flight Safety Assessment and Management
Dynamic Resource Allocation for Efficient Sharing of Services from Heterogeneous Autonomous Vehicles