An Action Developmental Model Based on Novelty
Cui Rui-li · Science Technology and Engineering · 2011
The robot's action is the basic element of the activities,for the robot,good action design is the important pledge to implement strategy.The learning process uses the constant learning rate in the traditional reinforce learning model,because of that robot learn in a low convergence speed and with the poor adaptation.For the above questions,a new kind of an action developmental model-action is proposed developmental model based on novelty.The model in the learning process uses the learning rate which based on the amnesic average,which is consistent with human real development process.This model uses innate value system which is consists of three parts: reward,punishment and the novelty.Robots intercepting experiments indicates that the model can be efficiently and accurately to carry out appropriate actions in constantly changing environment.