首页|Researchers from University Sains Malaysia Report on Findings in Robotics (Doubl e Critics and Double Actors Deep Deterministic Policy Gradient for Mobile Robot Navigation Using Adaptive Parameter Space Noise and Parallel Experience Replay)
Researchers from University Sains Malaysia Report on Findings in Robotics (Doubl e Critics and Double Actors Deep Deterministic Policy Gradient for Mobile Robot Navigation Using Adaptive Parameter Space Noise and Parallel Experience Replay)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews - Researchers detail new data in robotics. Accordin g to news reporting from Nibong Tebal, Malaysia,by NewsRx journalists, research stated, “In recent years, mobile robots have been increasingly used in avariet y of industries, such as manufacturing, logistics, health care, and security ser vices. Effectiveautonomous navigation preventing collisions for mobile robots h as become crucial for efficiently performingtasks in these diverse applications .”
University Sains MalaysiaNibong TebalMalaysiaAlgorithmsCybersecurityEmerging TechnologiesMachine LearningNano-robotRobotRobotics
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