Recent Findings from University of Electronic Science and Technology of China Pr ovides New Insights into Robotics (Multi-objective Cooperative Transportation fo r Reconfigurable Robot Using Isomorphic Mapping Multi-agent Reinforcement Learni ng)

Robotics & Machine Learning Daily News2024，Issue(Aug.5) ：46-46.

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Recent Findings from University of Electronic Science and Technology of China Pr ovides New Insights into Robotics (Multi-objective Cooperative Transportation fo r Reconfigurable Robot Using Isomorphic Mapping Multi-agent Reinforcement Learni ng)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – A new study on Robotics is now availab le. According to news reporting out ofChengdu, People’s Republic of China, by N ewsRx editors, the research stated, “In this paper, we proposean Isomorphic Map ping Reconfigurable Multi -Agent Reinforcement Learning (IM-RMARL) framework,wh ich is suitable for decision-making scenarios in reconfigurable multi-agent rein forcement learning. Thismethod holds promising applications in fields such as l ogistics transportation systems and disaster relief.”

Key words

Chengdu/People’s Republic of China/Asi a/Emerging Technologies/Machine Learning/Reinforcement Learning/Robot/Robot ics/University of Electronic Science and Technology of China

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出版年

2024

Robotics & Machine Learning Daily News

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