Autonomous Maneuver Planning for Small-Body Reconnaissance via Reinforcement Learning
Risk-Aware Markov Decision Process Contingency Management Autonomy for Uncrewed Aircraft Systems
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
MDP Formulation for Multi-UAVs Mission Planning with Refueling Constraints
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
Design and Feasibility of Electrical Version of Search-and-Rescue Helicopter Based on Eurocopter
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