首页|Beijing University of Technology Researcher Updates Understanding of Robotics (An Improved Dyna-Q Algorithm Inspired by the Forward Prediction Mechanism in the Rat Brain for Mobile Robot Path Planning)
Beijing University of Technology Researcher Updates Understanding of Robotics (An Improved Dyna-Q Algorithm Inspired by the Forward Prediction Mechanism in the Rat Brain for Mobile Robot Path Planning)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News-Fresh data on robotics are presented in a new rep ort. According to news originating from Beijing, People’s Republic of China, by NewsRx editors, the research stated, “The traditional Model-Based Reinforcement Learning (MBRL) algorithm has high computational cost, poor convergence, and poo r performance in robot spatial cognition and navigation tasks, and it cannot ful ly explain the ability of animals to quickly adapt to environmental changes and learn a variety of complex tasks.”
Beijing University of TechnologyBeijin gPeople's Republic of ChinaAsiaAlgorithmsEmerging TechnologiesMachine LearningReinforcement LearningRobotRobotics
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