首页|New Computational Intelligence Findings from Chinese Academy of Sciences Outline d (Self-clustering Hierarchical Multi-agent Reinforcement Learning With Extensib le Cooperation Graph)
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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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.
BeijingPeople's Republic of ChinaAsiaComputational IntelligenceEmerging TechnologiesMachine LearningReinforc ement LearningChinese Academy of Sciences
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NSTL
