A Novel Q-Learning Algorithm Based on the Stochastic Environment Path Planning Problem
Jian Li, Rong Fei, Yu Tang · 2020
In this paper, we proposed a path planning algorithm based on Q-learning model to simulate an environment model, which is suitable for the complex environment. A virtual simulation platform has been built to complete the experiments. The experimental results show that the algorithm proposed in this paper can be effectively applied to the solution of vehicle routing problems in the complex environment.