首页|Data from Tianjin University Provide New Insights into Robotics (Multi-station M ulti-robot Task Assignment Method Based On Deep Reinforcement Learning)
Data from Tianjin University Provide New Insights into Robotics (Multi-station M ulti-robot Task Assignment Method Based On Deep Reinforcement Learning)
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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 originating fromTianjin, People’s Republic of China, by N ewsRx correspondents, research stated, “This paper focuses onthe problem of mul ti-station multi-robot spot welding task assignment, and proposes a deep reinfor cementlearning (DRL) framework, which is made up of a public graph attention ne twork and independent policynetworks. The graph of welding spots distribution i s encoded using the graph attention network.”
TianjinPeople’s Republic of ChinaAsi aEmerging TechnologiesMachine LearningReinforcement LearningRobotRobot icsTianjin University
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