首页|Findings from National University of Defense Technology Broaden Understanding of Artificial Intelligence (Towards Efficient Longhorizon Decision-making Using Automated Structure Search Method of Hierarchical Reinforcement Learning for Edge ...)
Findings from National University of Defense Technology Broaden Understanding of Artificial Intelligence (Towards Efficient Longhorizon Decision-making Using Automated Structure Search Method of Hierarchical Reinforcement Learning for Edge ...)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – A new study on Artificial Intelligence is now available. According to news originatingfrom Changsha, People’s Republic of China, by NewsRx correspondents, research stated, “Hierarchicalreinforcement learning (HRL) is a promising approach for efficiently solving various long-horizon decisionmakingtasks in the Internet of Things (IoT) domain. However, HRL algorithms are known to rely onexpert knowledge to preset an appropriate hierarchical structure for different IoT tasks, which leads tohigher trial costs and limits its wider application.”
ChangshaPeople’s Republic of ChinaAsiaArtificial IntelligenceEmerging TechnologiesMachine LearningReinforcement LearningNational University of Defense Technology
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