This paper presents the development of a control law, which is intended to be implemented on an optical guided glider. This guiding law follows an innovative approach, the reinforcement learning. This control law is used to make navigation more flexible and autonomous in a dynamic environment. The final objective is to track a target detected with the camera and then guide the glider to this point with high precision. Already applied on quad-copter drones, we wish by this study to demonstrate the applicability of reinforcement learning for fixed-wing aircraft on all of its axis.

翻译：本文提出了一种控制律的开发，旨在应用于光学制导滑翔器。该制导律采用了一种创新方法——强化学习。该控制律用于在动态环境中实现更灵活、自主的导航。最终目标是通过摄像头检测并跟踪目标，随后以高精度引导滑翔器抵达该点。该方法已在四旋翼无人机上得到应用，本研究旨在证明强化学习在固定翼飞行器全轴向上的适用性。