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