Robotics & Machine Learning Daily News2024,Issue(Apr.23) :67-68.

Researchers at Shanghai University of Engineering Science Report New Data on Com putational Intelligence (Model-based Off-policy Deep Reinforcement Learning With Model-embedding)

Robotics & Machine Learning Daily News2024,Issue(Apr.23) :67-68.

Researchers at Shanghai University of Engineering Science Report New Data on Com putational Intelligence (Model-based Off-policy Deep Reinforcement Learning With Model-embedding)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on Ma chine Learning - Computational Intelligence.According to news reporting from Sh anghai, People’s Republic of China, by NewsRx journalists, researchstated, “Mod el-based reinforcement learning (MBRL) has shown its advantages in sample effici ency overmodel-free reinforcement learning (MFRL) by leveraging control-based d omain knowledge. Despite the impressive results it achieves, MBRL is still outpe rformed by MFRL due to the lack of unlimited interactionswith the environment.”

Key words

Shanghai/People’s Republic of China/As ia/Computational Intelligence/Emerging Technologies/Machine Learning/Reinfor cement Learning/Shanghai University of Engineering Science

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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