Parallel Learning:a Perspective and a FrameworkEnglish Full Text
Li Li;Yilun Lin;Nanning Zheng;Fei-Yue Wang;Department of Automation,TNList,Tsinghua University;IEEE;State Key Laboratory of Management and Control for Complex Systems,Institute of Automation,Chinese Academy of Sciences;University of Chinese Academy of Sciences;Institute of Artificial Intelligence and Robotics(IAIR),Xi’an Jiaotong University;Research Center for Computational Experiments and Parallel Systems Technology,National University of Defense Technology;
Abstract: The development of machine learning in complex system is hindered by two problems nowadays.The first problem is the inefficiency of exploration in state and action space,which leads to the data-hungry of some state-of-art data-driven algorithm.The second problem is the lack of a general theory which can be used to analyze and implement a complex learning system.In this paper,we proposed a general methods that can address both two issues.We combine the concepts of descriptive learning,predictive ... More
Keywords：
Descriptive learning; machine learning; parallel learning; parallel systems; predictive learning; prescriptive learning;
- Series：
(I) Electronic Technology ＆ Information Science
- Subject：
Automation Technology
- Classification Code：
TP181
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