Researcher's database - MIYAZAKI Kazuteru | BUNKYO UNIVERSITY

（Last updated : 2026-04-11 16:47:39）

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MIYAZAKI Kazuteru

Department / Course Bunkyo University Faculty of Information & Comunications Department of Data Science

Job Professor

Book and thesis
Papers	Rationality of Policy-Based Profit Sharing in Deep Reinforcement Learning The 33rd IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD2025-Winter) (Co-authored) 2025/12
Papers	A Study on Support for Degree Awarding on NIAD-QE Using Deep Learning Intelligent Systems Conference (IntelliSys) 2025 (2025.8), Intelligent Systems and ApplicationsProceedings of the 2025 Intelligent Systems Conference (IntelliSys), Volume 3 3,pp.615-623 (Sole-authored) 2025/11
Papers	Rule-based generation of synthetic genetic circuits - recent progress in v 2.0 - IWBDA 2025 (Co-authored) 2025/09
Papers	A Study on the relationship between Conscious Decision-Making Systems and BDI architecture - Focusing on Fusion with Plants BICA*AI 2025 (Co-authored) 2025/08
Papers	Modeling the Placebo Effect by Reinforcement Learning BICA*AI 2025 (Sole-authored) 2025/08
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Academic background
1987/04～1991/03	Meiji University Graduated
1991/04～1993/03	Master Tokyo Institute of Technology Finished
1993/04～1996/03	Doctoral Program (2nd Semester) Interdisciplinary Graduate School of Science and Engineering Tokyo Institute of Technology Finished

Business career
1996/04 ～ 1998/03	Tokyo Institute of Technology Interdisciplinary Graduate School of Science and Engineering
1998/04 ～ 1999/10	Tokyo Institute of Technology Interdisciplinary Graduate School of Science and Engineering
2001/10 ～ 2026/03	Meiji University School of Science and Technology, Department of Mechanical Engineering Informatics
2004/04 ～ 2007/03	National Institution for Academic Degrees and Quality Enhancement of Higher Education
2007/04 ～ 2011/03	National Institution for Academic Degrees and Quality Enhancement of Higher Education
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Academic conference presentation
2020/03	Profit Sharingによる方策の直接強化手法の提案
2020/03	深層強化学習を利用したドライバーの眠気防止システムに関する一考察
2018/11	深層強化学習アルゴリズムRainbowとPro t Sharingベース学習の結合 (計測自動制御学会システム・情報部門学術講演会2018)
2018/09	A Proposal of Exploitation-oriented Deep Reinforcement Learning Method with Double Episode
2016/12	Experimental Results of Exploitation-oriented Learning with Deep Learning
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Research activities
1991/03/20 ～	The Japan Society of Mechanical Engineers
1993/03/22 ～	The Society of Instrument and Control Engineers
1994/04/01 ～	The Japanese Society for Artificial Intelligence
2001/03/21 ～	Japanese Association of Higher Education Research
2004/06/24 ～	Information Processing Society of Japan
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Present specialized field
Intelligent informatics, Soft computing

Research topic, funded research, and department laboratory expense
2021/10 ～ 2027/03	ありえた生体高分子ネットワークを創出するBioDOSの構築 Research by External Competitive Fund
2021/04 ～ 2024/03	Research on the innovative evolution of deep reinforcement learning based on the profit sharing principle and its application to real problems Grant-in-Aid for Scientific Research (C)
2017/04 ～ 2020/03	Research on the Development of New Machine Learning Methods Combining Exploitation-oriented Learning and Deep Learning
2014 ～ 2016	Theory and Applications of Exploitation-oriented Learning XoL in Multi-agent Systems
2010 ～ 2012	Progressive research on the exploitation-oriented learning XoL 基盤研究(C)
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Winning science prize
2025/11/20	Journal of Advanced Computational Intelligence and Intelligent Informatics Distinguished Editor Award 2025
2023/11	The Society of Instrument and Control Engineers SSI Excellent Paper Award

External Researcher ID
ORCID ID
0000-0001-8175-213X