首页|Reports from Zhengzhou University Advance Knowledge in Mathematics (LIRL: Latent Imagination-Based Reinforcement Learning for Efficient Coverage Path Planning)
Reports from Zhengzhou University Advance Knowledge in Mathematics (LIRL: Latent Imagination-Based Reinforcement Learning for Efficient Coverage Path Planning)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews - Data detailed on mathematics have been presented. According to news reporting out of Zhengzhou,People’s Republic of China, by Ne wsRx editors, research stated, “Coverage Path Planning (CPP) inunknown environm ents presents unique challenges that often require the system to maintain a symm etrybetween exploration and exploitation in order to efficiently cover unknown areas.”
Zhengzhou UniversityZhengzhouPeople’ s Republic of ChinaAsiaEmerging TechnologiesMachine LearningMathematicsReinforcement Learning
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