Login| Sign Up| Help| Contact|

Patent Searching and Data


Title:
MULTI-AGENT LEARNING METHOD
Document Type and Number:
WIPO Patent Application WO/2023/181089
Kind Code:
A1
Abstract:
This multi-agent learning method includes an agent (E) presenting acquired information to a human (NG), and the human (NG) correcting the action of the agent (E).

Inventors:
DOI MAMORU (JP)
MARIYAMA TOSHISADA (JP)
SUGIHARA KENYA (JP)
ONISHI TADASHI (JP)
Application Number:
PCT/JP2022/012936
Publication Date:
September 28, 2023
Filing Date:
March 22, 2022
Export Citation:
Click for automatic bibliography generation   Help
Assignee:
MITSUBISHI ELECTRIC CORP (JP)
International Classes:
G06N20/00
Foreign References:
JP2022029599A2022-02-18
Other References:
RUOHAN ZHANG; FARAZ TORABI; LIN GUAN; DANA H. BALLARD; PETER STONE: "Leveraging Human Guidance for Deep Reinforcement Learning Tasks", ARXIV.ORG, CORNELL UNIVERSITY LIBRARY, 201 OLIN LIBRARY CORNELL UNIVERSITY ITHACA, NY 14853, 21 September 2019 (2019-09-21), 201 Olin Library Cornell University Ithaca, NY 14853 , XP081480105
JONATHAN CHUNG; ANNA LUO; XAVIER RAFFIN; SCOTT PERRY: "Battlesnake Challenge: A Multi-agent Reinforcement Learning Playground with Human-in-the-loop", ARXIV.ORG, CORNELL UNIVERSITY LIBRARY, 201 OLIN LIBRARY CORNELL UNIVERSITY ITHACA, NY 14853, 20 July 2020 (2020-07-20), 201 Olin Library Cornell University Ithaca, NY 14853 , XP081724492
DAVID ABEL; JOHN SALVATIER; ANDREAS STUHLM\"ULLER; OWAIN EVANS: "Agent-Agnostic Human-in-the-Loop Reinforcement Learning", ARXIV.ORG, CORNELL UNIVERSITY LIBRARY, 201 OLIN LIBRARY CORNELL UNIVERSITY ITHACA, NY 14853, 15 January 2017 (2017-01-15), 201 Olin Library Cornell University Ithaca, NY 14853 , XP080749216
Attorney, Agent or Firm:
SANNO PATENT ATTORNEYS OFFICE (JP)
Download PDF: