Patent ID: 11965666
Assignee: GREE ELECTRIC APPLIANCES, INC. OF ZHUHAI
Field: Control (Instruments)
Classification: CPC F  G | IPC F  G

Claim 5:
6. The control method for the air conditioner according to claim 1, wherein calculating the maximum expected benefit of performing the current action in the current state based on the first reward matrix and the Q-learning algorithm comprises:
calculating the maximum expected benefit according to the following formula:

Q(s,a)=R(s,a)+Θ*max{Q(snext,anext)}

wherein s represents the current state, a represents the current action, snext represents a next state, anext represents a next action, R(s, a) represents the first reward matrix, Q(snext, anext) represents a maximum expected benefit obtained through performing the action anext under the state snext, Q(s, a) represents the maximum expected benefit obtained through performing the action a under the state s, and Θ represents a greedy factor.