首页|Findings from Peking University Provides New Data on Robotics and Automation (Td anet: Target-directed Attention Network for Object-goal Visual Navigation With Z ero-shot Ability)
Findings from Peking University Provides New Data on Robotics and Automation (Td anet: Target-directed Attention Network for Object-goal Visual Navigation With Z ero-shot Ability)
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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. Accordingto news reporting out of Beijing, People’s Republic of China, by NewsRx editors, research stated, “Thegeneralizat ion of the end-to-end deep reinforcement learning (DRL) for object-goal visual n avigation isa long-standing challenge since object classes and placements vary in new test environments. Learningdomain-independent visual representation is c ritical for enabling the trained DRL agent with the ability togeneralize to uns een scenes and objects.”
BeijingPeople’s Republic of ChinaAsi aRobotics and AutomationRoboticsPeking University
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