首页|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)
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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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.”
ChengduPeople’s Republic of ChinaAsi aEmerging TechnologiesMachine LearningReinforcement LearningRobotRobot icsUniversity of Electronic Science and Technology of China
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