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Title:
CLOUD PLATFORM-BASED SHARING LEARNING SYSTEM AND METHOD, SHARING PLATFORM AND METHOD, AND MEDIUM
Document Type and Number:
WIPO Patent Application WO/2020/199690
Kind Code:
A1
Abstract:
Provided is a robot sharing learning system based on a cloud platform (100), comprising a private model generation terminal (110) and a cloud converged computing sharing platform (120); the private model generation terminal (110) is used for uploading to the cloud fusion computing sharing platform (120) a locally generated private model, and environmental characteristic information collected for generating the private model; the cloud converged computing sharing platform (120) comprises a model converged computing module (122); the model converged computing module (122) is used for uploading a private model, and combining the environmental characteristic information uploaded by other robot terminals, the private model generation terminal (110), and/or other private model generation terminals (110) with the shared model stored on the cloud converged computing sharing platform (120) for converged computing to generate a new sharing model; the new sharing model is used for downloading and/or learning from other robot terminals, private model generating terminals (110), and/or other private model generation terminals (110).

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Inventors:
LIU BOYI (CN)
WANG LUJIA (CN)
LIU MING (CN)
XU CHENGZHONG (CN)
Application Number:
PCT/CN2019/130567
Publication Date:
October 08, 2020
Filing Date:
December 31, 2019
Export Citation:
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Assignee:
SHENZHEN INST ADV TECH (CN)
International Classes:
G06N7/06; B25J9/16; G06N99/00
Foreign References:
CN109993308A2019-07-09
CN109086550A2018-12-25
CN108921298A2018-11-30
CN107053184A2017-08-18
CN109116854A2019-01-01
Other References:
BUSONIU, LUCIAN ET AL.: "A Comprehensive Survey of Multiagent Reinforcement Learning", IEEE TRANSACTIONS ON SYSTEMS, MAN, AND CYBERNETICS—PART C: APPLICATIONS AND REVIEWS, vol. 38, no. 2, 31 March 2008 (2008-03-31), XP055739691, DOI: 20200318132315A
Attorney, Agent or Firm:
SHENZHEN KEJIN INTELLECTUAL PROPERTY OFFICE (CN)
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