A Reinforcement Learning Based ART2 Neural Network:RL-ART2

A reinforcement learning based ART2 neural network(RL-ART2)is proposed and its learning algorithm is given.It is capable of online learning without training samples by using the characteristic of alteration with environment of reinforcement learning.In RL-ART2,the output classified pattern is got by inner competition of ART2,then the running effect of the classified pattern is gained and evaluated through altering with environment.With enough time of being online and interactive learning with environment,a certain recognition ratio of ART2 neural network is attained.The simulation results of path planning for mobile robot indicate that the collision times of robot is effectively decreased by using RL-ART2.Moreover,the rationality and validity of RL-ART2 are also demonstrated by the results.