Patent ID: 11922287
Assignee: BAIDU.COM TIMES TECHNOLOGY (BEIJING) CO., LTD.
Field: Audio-visual technology (Electrical engineering)
Classification: CPC G  H | IPC G  H

Claim 0:
1. A computer-implemented method for multi-objective ranking comprising:
receiving, at a multi-gate mixture of experts (MMoE) layer comprising multiple experts and a gating network, embeddings corresponding to one or more states and one or more actions, wherein each expert is a deep neural network (DNN);
generating, by each of multiple experts using soft actor critic (SAC), an expert output based on the embeddings, each expert output related to one or more prediction parameters corresponding to one or more actions;
obtaining a weighted sum of the expert outputs by the multiple experts, in accordance with weights generated by the gating network for the experts, in which each expert has a corresponding weight obtained from the gating network; and
generating a prediction output based on the weighted sum,
wherein a training process comprises:
regarding each action as a task;
adding an entropy-regularized term to a policy function; and
learning policy parameters by minimizing a Kullback-Leibler divergence between the policy function and a quotient obtained by dividing an exponential of a soft-Q function and a partition function.