A Fleet Efficiency Factor for fleet size and mix problems using particle swarm optimisation
A Stochastic Dilemma Zone Protection Algorithm Based on the Vehicles’ Trajectories
Clustering driver behavior using dynamic time warping and hidden Markov model
Composition of Safety Constraints for Fixed-Wing Collision Avoidance Amidst Limited Communications
Control Strategy for an Electromechanical Transmission Vehicle Based on a Double Markov Process
Image-Based Meta-Reinforcement Learning for Autonomous Guidance of an Asteroid Impactor
Intelligent decision making for overtaking maneuver using mixed observable Markov decision process
Reachability Analysis for Neural Network Aircraft Collision Avoidance Systems
Reinforcement Learning for Robust Trajectory Design of Interplanetary Missions
Reinforcement Learning of a Morphing Airfoil-Policy and Discrete Learning Analysis
Robust Space Trajectory Design Using Belief Optimal Control