公开(公告)号：US20200065701A1

公开(公告)日：2020-02-27

申请号：US16518667

申请日：2019-07-22

Applicant: VMware, Inc.

Inventor： Dev Nag ,  Yanislov Yankor ,  Dongni Wang ,  Gregory T. Burk ,  Nicholas Mark Grant Stephen

IPC: G06N20/00 ,  G06N5/02

Abstract: The current document is directed to an automated reinforcement-learning-based application manager that uses action tags and metric tags. In various implementations, actions and metrics are associated with tags. Different types of tags can contain different types of information that can be used to greatly improve the computational efficiency by which the reinforcement-learning-based application manager explores the action-state space in order to determine and maintain an optimal or near-optimal management policy by providing a vehicle for domain knowledge to influence control-policy decision making.