Training model updating method and system, intelligent agent, server and storage medium

A technology for training models and updating methods, applied in the data processing field of financial technology, which can solve problems such as low knowledge extraction ability and poor model stability

Active Publication Date: 2020-05-01
WEBANK (CHINA)
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The main purpose of the present invention is to provide an update method, system, agent, server and storage medium for a training model, aiming to solve the problem that the ...

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  • Training model updating method and system, intelligent agent, server and storage medium
  • Training model updating method and system, intelligent agent, server and storage medium
  • Training model updating method and system, intelligent agent, server and storage medium

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Embodiment Construction

[0043] It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0044] The present invention provides a method for updating a training model, referring to figure 1 , figure 1 It is a schematic flowchart of the first embodiment of the method for updating the training model of the present invention.

[0045] The embodiment of the present invention provides an embodiment of the method for updating the training model. It should be noted that although the logic sequence is shown in the flow chart, in some cases, the sequence shown here can be executed in a different order. or the steps described. The nouns involved in the embodiments of the present invention are explained below.

[0046]Federated learning refers to the method of machine learning by uniting different participants (participants, or parties, also known as data owners, or clients). In federated learning, participants d...

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Abstract

The invention discloses a training model updating method and system, an intelligent agent, a server and a storage medium. The method relates to the field of financial science and technology, and comprises the following steps: a federated learning server receives a first training model sent by each reinforcement learning agent running in a real-time environment, and receives a second training modelsent by a data server and obtained by training according to historical sample data; performing federated learning on the first training model and the second training model to obtain a federated model; and sending the federated model to the data server and each reinforcement learning agent, so that the data server and each reinforcement learning agent correspondingly update a training model according to the federated model. According to the method, the accuracy of obtaining the training result through the training model is improved, that is, the sample knowledge extraction capability of the training model is improved, and the stability of the training model is improved.

Description

technical field [0001] The present invention relates to the technical field of data processing of financial science and technology (Fintech), in particular to a training model updating method, system, agent, server and storage medium. Background technique [0002] With the development of computer technology, more and more technologies are applied in the financial field. The traditional financial industry is gradually transforming into financial technology (Fintech), and data processing technology is no exception. However, due to the security and real-time requirements of the financial industry, It also places higher demands on technology. [0003] Nowadays, the training method of reinforcement learning applied in the industry is usually that the trained reinforcement learning agent (Agent) will maintain a fixed-scale experience pool (experience playback), and when the scale of the experience pool exceeds a certain size, the reinforcement learning agent will experience Forge...

Claims

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Application Information

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IPC IPC(8): G06N20/00
CPCG06N20/00
Inventor 梁新乐刘洋陈天健董苗波
Owner WEBANK (CHINA)
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