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

Claim 11:
12. The storage medium according to claim 8, 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 □ represents a greedy factor.