Robotics & Machine Learning Daily News2024,Issue(Oct.7) :91-91.

New Computational Intelligence Findings from Chinese Academy of Sciences Outline d (Self-clustering Hierarchical Multi-agent Reinforcement Learning With Extensib le Cooperation Graph)

Robotics & Machine Learning Daily News2024,Issue(Oct.7) :91-91.

New Computational Intelligence Findings from Chinese Academy of Sciences Outline d (Self-clustering Hierarchical Multi-agent Reinforcement Learning With Extensib le Cooperation Graph)

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Abstract

Investigators publish new report on Ma chine Learning -Computational Intelligence. According to news originating from Beijing, People's Republic of China, by NewsRx correspondents, research stated, "Multi-Agent Reinforcement Learning (MARL) has been successful in solving many c ooperative challenges. However, classic non-hierarchical MARL algorithms still c annot address various complex multiagent problems that require hierarchical coo perative behaviors." Financial supporters for this research include National Natural Science Foundati on of China (NSFC), Beijing Municipal Science & Technology Commiss ion, National Key Research & Development Program of China.

Key words

Beijing/People's Republic of China/Asia/Computational Intelligence/Emerging Technologies/Machine Learning/Reinforc ement Learning/Chinese Academy of Sciences

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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