【摘 要】
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Reinforcement learning can be modeled as markov decision process mathematically.In consequence,the interaction samples as well as the connection relation between them are two main types of information for learning.However,most of recent works on deep rein
【机 构】
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UniversityofScienceandTechnologyofChina,CASKeyLaboratoryofWireless-OpticalCommunications
【基金项目】
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This work is supported by the National Key Research and Development Program of China,2018YFA0701603 and Natural Science Foundation of Anhui Province,2008085MF213.
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Reinforcement learning can be modeled as markov decision process mathematically.In consequence,the interaction samples as well as the connection relation between them are two main types of information for learning.However,most of recent works on deep rein
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