Robotics & Machine Learning Daily News2024,Issue(Nov.1) :80-81.

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)

Robotics & Machine Learning Daily News2024,Issue(Nov.1) :80-81.

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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Abstract

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.

Key words

Shenzhen/People’s Republic of China/As ia/Robotics and Automation/Robotics/Emerging Technologies/Machine Learning/Reinforcement Learning/Sun Yat-sen University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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