Risk-Aware Markov Decision Process Contingency Management Autonomy for Uncrewed Aircraft Systems
Autonomous Small Body Science Operations Using Reinforcement Learning
Cooperative Mission Planning Using Rollout Policy Optimization
Bayesian Safety Validation for Failure Probability Estimation of Black-Box Systems
On the statistics of coherent vortices in incoherent environments
Multirobot Navigation Using Partially Observable Markov Decision Processes with Belief-Based Rewards
How incidents impact congestion on roadways: A queuing network approach
Markov model of the operations & maintenance process of vehicles scheduled to be Operated
Monte Carlo Tree Search Methods for the Earth-Observing Satellite Scheduling Problem
Defender-Aware Attacking Guidance Policy for the Target–Attacker–Defender Differential Game
Bridging Reinforcement Learning and Online Learning for Spacecraft Attitude Control
Multi-Objective Cooperated Path Planning of Multiple Unmanned Aerial Vehicles Based on Revisit Time
Autonomous Separation Assurance with Deep Multi-Agent Reinforcement Learning
Unmanned Aircraft Systems Conflict Resolution Using Return-to-Course Maneuver
An Introduction to Imprecise Markov Chains