1.FUTURE MOTION DECISIONS USING STATE-ACTION PAIR PREDICTIONS

作　　者：Masashi Sugimoto ;Kentarou Kurashige

出　　处：International Journal of New Computer Architectures and their Applications. 2015 ;5(2):79-93.doi:10.17781/P001896

出版社：Society of Digital Information and Wireless Communications

文章 ID：181206584

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2.A Study for Improvement for Reinforcement Learning based on Knowledge Sharing Method — Adaptability to a situation of intermingled of complete and incomplete perception under an maze—

作　　者：Masashi SUGIMOTO ;Hiroya YASHIRO ;Kazuma NISHIMURA 等

出　　处：International Journal of New Computer Architectures and their Applications. 2019 ;9(2):60-67.

出版社：Society of Digital Information and Wireless Communications

文章 ID：243721040

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3.Dimensionality Reduction for State-action Pair Prediction based on Tendency of State and Action

作　　者：Masashi Sugimoto ;Naoya Iwamoto ;Robert W. Johnston 等

出　　处：International Journal of New Computer Architectures and their Applications. 2017 ;7(1):18-28.doi:10.17781/P002307

出版社：Society of Digital Information and Wireless Communications

文章 ID：213499899

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4.AN EXPERIMENTAL STUDY FOR TRACKING ABILITY OF DEEP Q-NETWORK

作　　者：Masashi SUGIMOTO ;Ryunosuke UCHIDA ;Kentarou KURASHIGE 等

出　　处：International Journal of New Computer Architectures and their Applications. 2020 ;10(3):32-38.doi:10.17781/P002679

出版社：Society of Digital Information and Wireless Communications

文章 ID：1037769774

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	Ryunosuke UCHIDA	1篇
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