Abstract: The disclosure provides a control method and a device for an air conditioner. The method includes: a first reward matrix is constructed according to multiple sets of target operating parameters of an air conditioner, a maximum expected benefit of performing a current action in a current state is calculated based on the first reward matrix and a Q-learning algorithm, wherein the current state is represented by a current indoor environment temperature and a current outdoor environment temperature; target action parameters under the maximum expected benefit are acquired, and operation of the air conditioner is controlled based on second target action parameters, wherein the second target action parameters at least include a second target operating frequency of the compressor, a second target opening degree of the electronic expansion valve and a second target rotating speed of the external fan.

Abstract: A processed wafer includes an outer surface, and a treated portion having a depth of 0 to 50 ?m measured from the outer surface. At least a part of the treated portion has an oxygen concentration of less than 13 wt %. A method for processing a wafer includes the steps of: applying a reducing medium on the wafer, the reducing medium is in powder form and including a reducing agent, and at least one of a catalyst and a releasing agent; subjecting the wafer to a reduction reaction at a temperature below Curie temperature of the and under a non-oxidizing atmosphere so as to obtain the aforesaid processed wafer.