More engineers are turning to reinforcement learning to incorporate adaptive and self-tuning control into industrial systems. It aims to strike a balance between traditional ...
Abstract: The rapid advancement of military technology has necessitated effective interception methods for unmanned aerial vehicles (UAVs) used in modern combat and reconnaissance. As adversarial ...
Abstract: This paper introduces Fuzzy-Proximal Policy Optimization (Fuzz-PPO), a unique hybrid control framework that improves robotic control in dynamic and unpredictable situations by utilising Meta ...