Trajectory Synthesis for the Coordinated Inspection of a Spacecraft with Safety Guarantees
Multirobot Navigation Using Partially Observable Markov Decision Processes with Belief-Based Rewards
Optimization of Directional Sensor Orientation with Application to Sun Sensing
Bayesian Reliability Analysis of the Enhanced Multimission Radioisotope Thermoelectric Generator
Characterization and Control of Hysteretic Dynamics Using Online Reinforcement Learning
Robust Space Trajectory Design Using Belief Optimal Control
Generation of Spacecraft Operations Procedures Using Deep Reinforcement Learning
Composition of Safety Constraints for Fixed-Wing Collision Avoidance Amidst Limited Communications
Optimal Feedback Guidance of a Small Aerial Vehicle in a Stochastic Wind
Reinforcement Learning of a Morphing Airfoil-Policy and Discrete Learning Analysis
Monte Carlo Tree Search Methods for the Earth-Observing Satellite Scheduling Problem
Reachability Analysis for Neural Network Aircraft Collision Avoidance Systems
Developing Mathematical Formulations for the Integrated Problem of Sensors, Weapons, and Targets
Distributed Wildfire Surveillance with Autonomous Aircraft Using Deep Reinforcement Learning
Defender-Aware Attacking Guidance Policy for the Target–Attacker–Defender Differential Game
Reinforcement Learning for Robust Trajectory Design of Interplanetary Missions
Markov Decision Process Framework for Flight Safety Assessment and Management
Human Intent Prediction Using Markov Decision Processes
Adaptable Data Download Schedules for Agile Earth-Observing Satellites