最后python代码: importnumpyasnp# R matrixR=np.matrix([[-1,-1,-1,-1,0,-1],[-1,-1,-1,0,-1,100],[-1,-1,-1,0,-1,-1],[-1,0,0,-1,0,-1],[-1,0,0,-1,-1,100],[-1,0,-1,-1,0,100]])# Q matrixQ=np.matrix(np.zeros([6,6]))# Gamma (learning parameter)....
以下是一个基于强化学习的无人机路径规划的简单代码示例: import numpy as np import math # 定义状态空间和动作空间 state_space = np.linspace(0, 10, 100) action_space = np.linspace(0, 1, 10) # 定义 Q 表…