首页|Study Findings on Robotics Described by a Researcher at Shandong University (Sca lable Multi-Robot Task Allocation Using Graph Deep Reinforcement Learning with G raph Normalization)
Study Findings on Robotics Described by a Researcher at Shandong University (Sca lable Multi-Robot Task Allocation Using Graph Deep Reinforcement Learning with G raph Normalization)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on ro botics. According to news originating from Qingdao, People’s Republic of China, by NewsRx correspondents, research stated, “Task allocation plays an important r ole in multi-robot systems regarding team efficiency.” Financial supporters for this research include National Natural Science Foundati on of China; Key Research And Development Program of Shandong Province; Project of Natural Science Foundation of Shandong Province; China University Innovation Fund; Qingdao Natural Science Foundation; Postdoctoral Innovation Project of Sha ndong Province; Qingdao Postdoctoral Funding Project.
Shandong UniversityQingdaoPeople’s R epublic of ChinaAsiaEmerging TechnologiesMachine LearningReinforcement L earningRobotRobotics
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