首页|Investigators from Tongji University Report New Data on Robotics and Automation (Closely Cooperative Multi-agent Reinforcement Learning Based On Intention Shari ng and Credit Assignment)
Investigators from Tongji University Report New Data on Robotics and Automation (Closely Cooperative Multi-agent Reinforcement Learning Based On Intention Shari ng and Credit Assignment)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Investigators discuss new findings in Robotics - Robotics and Automation. According tonews reporting originating from Shanghai, People’s Republic of China, by NewsRx correspondents, research stated , “Collaborative tasks are important in multi-agent systems. Multi-agent reinfor cement learning isa commonly used technique for solving multi-agent cooperative policy learning.”
ShanghaiPeople’s Republic of ChinaAs iaRobotics and AutomationRoboticsEmerging TechnologiesMachine LearningReinforcement LearningTongji University
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