基于Q学习的无人机航迹规划

In this paper, we used a classic learning algorithm, the Q-Learning, and its application on the UAV (unmanned aircraft vehicles) planning problem. The route planning problem is considered as a geometric problem in this paper and is solved by Q-learning. Essentially the Geometric learning is a kind of reinforce learning methods and is able to utilize the distance and danger information from the map at the same time which can lead to a comprehensive solution to the planning problem. At the end of paper, some representative results are shown to prove Q-Learning's effectiveness and feasibility.