首页|Studies from Sun Yat-sen University Yield New Data on Robotics and Automation (A New Representation of Universal Successor Features for Enhancing the Generaliza tion of Target-driven Visual Navigation)
Studies from Sun Yat-sen University Yield New Data on Robotics and Automation (A New Representation of Universal Successor Features for Enhancing the Generaliza tion of Target-driven Visual Navigation)
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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 - Robotics and Automation. According to news reporting originating in She nzhen, People’s Republic of China, by NewsRx journalists, research stated, “Targ et-driven visual navigation is a long-standing objective in the field of robotic s. Deep reinforcement learning methods have demonstrated their effectiveness in developing target-driven visual navigation policies, yet they often struggle wit h generalization.” Financial supporters for this research include National Natural Science Foundati on of China (NSFC), Fundamental Research Funds for the Central Universities, Sun Yat-sen University.
ShenzhenPeople’s Republic of ChinaAs iaRobotics and AutomationRoboticsEmerging TechnologiesMachine LearningReinforcement LearningSun Yat-sen University
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