Robotics & Machine Learning Daily News2024,Issue(Dec.9) :118-118.

Reports from Zhengzhou University Advance Knowledge in Mathematics (LIRL: Latent Imagination-Based Reinforcement Learning for Efficient Coverage Path Planning)

Robotics & Machine Learning Daily News2024,Issue(Dec.9) :118-118.

Reports from Zhengzhou University Advance Knowledge in Mathematics (LIRL: Latent Imagination-Based Reinforcement Learning for Efficient Coverage Path Planning)

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Abstract

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.”

Key words

Zhengzhou University/Zhengzhou/People’ s Republic of China/Asia/Emerging Technologies/Machine Learning/Mathematics/Reinforcement Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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