| Abstract: | AGVs dispatching,one of the hot problems in FMS, has attracted widespread inte rest in recent years. It is hard to dynamically schedule AGVs with pre-designed rule because of the uncertainty and dynamic nature of AGVs dispatching progress,so the AGVs system in this paper is treated as a cooperative learning mul tiag ent system, in which each agent adopts multilevel decision method, which includes two level decisions:the option level and the action level.On the option level,an agent learns a policy to execute a subtask with the best resp onse to the other AGVs'current options. On the action level,an agent learns an optimal policy of actions for achieving his planned option.The method is applied to a AGVs'dispatching simulation,and the performance of the AGVs system bas ed on this method is verified. |
