UAV path planning via fusion of enhanced RRT* and path-guided Q-learning
This study proposes an unmanned aerial vehicle path-planning framework that integrates improved Rapidly-exploring Random Tree Star (improved RRT*) and Q-learning algorithms (Improved Rapidly-exploring Random Tree Star (IRRT*)-IQL) to address challenges such as low path-planning efficiency and susceptibility to local op...