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
Generation of Spacecraft Operations Procedures Using Deep Reinforcement Learning
Optimal Feedback Guidance of a Small Aerial Vehicle in a Stochastic Wind
Monte Carlo Tree Search Methods for the Earth-Observing Satellite Scheduling Problem
Defender-Aware Attacking Guidance Policy for the Target–Attacker–Defender Differential Game
Distributed Wildfire Surveillance with Autonomous Aircraft Using Deep Reinforcement Learning
Developing Mathematical Formulations for the Integrated Problem of Sensors, Weapons, and Targets
Human Intent Prediction Using Markov Decision Processes
Markov Decision Process Framework for Flight Safety Assessment and Management
Adaptable Data Download Schedules for Agile Earth-Observing Satellites
Methodology for Path Planning with Dynamic Data-Driven Flight Capability Estimation
Unmanned Aircraft Systems Conflict Resolution Using Return-to-Course Maneuver
Deep Learning Techniques for Autonomous Spacecraft Guidance During Proximity Operations
Dynamic Resource Allocation for Efficient Sharing of Services from Heterogeneous Autonomous Vehicles
Bridging Reinforcement Learning and Online Learning for Spacecraft Attitude Control