Rchr
J-GLOBAL ID：202101005470665381
Update date: Sep. 29, 2024
Tsutsui Kazushi
ツツイ カズシ | Tsutsui Kazushi
Affiliation and department：
Job title：
Assistant professor
Research field (3)：
Intelligent informatics
, Sports science
, Physical and health education
Research keywords (7)：
multi-agent system
, collective behavior
, dexterity
, machine learning
, reinforcement learning
, motor control
, sports science
Research theme for competitive and other funds (8)：
- 2024 - 2027 Emergence of Collective Order in Swarms Using Multi-Agent Reinforcement Learning
- 2024 - 2027 Machine Learning-Based Modeling for Understanding Hierarchical Navigation in Diverse Animal Groups
- 2023 - 2026 Research Unit for Hierarchical Interactions in Biological Multi-agent Systems
- 2022 - 2026 Development of a method to evaluate and learn group dynamics through the offense and defense of humans and autonomous agents
- 2022 - 2025 Competition and Cooperation Dynamics through Collective Offense and Defense between Humans and Learning and Adaptive Agents
- 2021 - 2024 Cross-disciplinary research on the prediction and control of real-world interactions based on evidence and causality
- 2021 - 2022 Understanding "Herd behavior" of Animals Approached from the Combination of Biology and Informatics
- 2017 - 2019 Cognitive and Motor Control Mechanisms in Offense and Defense in Interpersonal Competition
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Papers (15)：
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Kazushi Tsutsui, Ryoya Tanaka, Kazuya Takeda, Keisuke Fujii. Collaborative hunting in artificial agents with deep reinforcement learning. eLife. 2024. 13:e85694
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Tomohiro Suzuki, Kazushi Tsutsui, Kazuya Takeda, Keisuke Fujii. Runner re-identification from single-view video in the open-world setting. Multimedia Tools and Applications. 2024
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Keisuke Fujii, Kazushi Tsutsui, Atom Scott, Hiroshi Nakahara, Naoya Takeishi, Yoshinobu Kawahara. Adaptive action supervision in reinforcement learning from real-world multi-agent demonstrations. Proceedings of the 16th International Conference on Agents and Artificial Intelligence (ICAART'24). 2024. 2. 27-39
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Hiroshi Nakahara, Kazushi Tsutsui, Kazuya Takeda, Keisuke Fujii. Action Valuation of On- and Off-Ball Soccer Players Based on Multi-Agent Deep Reinforcement Learning. IEEE Access. 2023. 11. 131237-131244
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Kazushi Tsutsui, Kazuya Takeda, Keisuke Fujii. Synergizing Deep Reinforcement Learning and Biological Pursuit Behavioral Rule for Robust and Interpretable Navigation. Proceedings of the 1st Workshop on Synergy of Scientific and Machine Learning Modeling (SynS and ML) co-located with the International Conference on Machine Learning (ICML'23). 2023
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MISC (16)：
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中原啓, 筒井 和詩, 武田 一哉, 藤井 慶輔. 深層強化学習に基づく連続状態空間におけるサッカーの複数選手の行動評価. 人工知能学会全国大会論文集. 2023
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筒井 和詩, 田中 良弥, 武田 一哉, 藤井 慶輔. 深層強化学習を用いた協調的狩猟における学習過程の探索. 人工知能学会全国大会論文集. 2023
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梅基 陸平, 筒井 和詩, 藤井 慶輔. サッカーのイベント予測確率に基づく一般化された守備評価を用いた分析. 人工知能学会全国大会論文集. 2023
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Kazushi Tsutsui, Kazuya Takeda, Keisuke Fujii. Diversity of behavioral strategy in cooperative hunting using multi-agent deep reinforcement learning. Proceedings of the Annual Conference of The Japanese Society for Artificial Intelligence (JSAI). 2022
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Kazushi Tsutsui, Kazuya Takeda, Keisuke Fujii. Evaluation of soccer players to create scoring opportunities for teammates based on their trajectory prediction. Proceedings of the Annual Conference of The Japanese Society for Artificial Intelligence (JSAI). 2022
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Lectures and oral presentations (18)：
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Exploring the Mechanisms of Collective Behavior through Multi-Agent Reinforcement Learning
(TOYOTA KONPON RESEARCH INSTITUTE, Exploration Project: Principles and Limitation of Frontier Exploration, Workshop "Mathematical and Information Technology for Unexplored Exploration" 2024)
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Exploring Collaborative Hunting Through Multi-Agent Reinforcement Learning
(The 8th International Symposium on Swarm Behavior and Bio-Inspired Robotics 2024)
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Multi-Agent Reinforcement Learning for Exploring Collective Behavior
(RIKEN Interdisciplinary Theoretical and Mathematical Sciences Program (iTHEMS) Biology seminar 2024)
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Reinforcement Learning Workshop for Biologists and Ecologists
(Grant-in-Aid for Transformative Research Areas (A): Hierarchical Bio-Navigation Integrating Cyber-Physical Space Study Group 2024)
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Decision Mechanisms in Biological Populations Explored by Multi-Agent Reinforcement Learning
(Grant-in-Aid for Transformative Research Areas (B): Contrarian Biology Study Group 2024)
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Education (3)：
- 2016 - 2019 The University of Tokyo Graduate School of Arts and Sciences Multi-Disciplinary Sciences Life Sciences
- 2014 - 2016 The University of Tokyo Graduate School of Arts and Sciences Multi-Disciplinary Sciences Life Sciences
- 2009 - 2013 Tokyo Gakugei University Faculty of Education Lifelong Sports
Professional career (1)：
- Ph.D. (The University of Tokyo)
Work history (13)：
- 2024/10 - 現在 Japan Science and Technology Agency ACT-X「Life and Information」
- 2024/08 - 現在 Nagoya University Graduate School of Informatics Invited Faculty
- 2024/06 - 現在 RIKEN Center for Advanced Intelligence Project (AIP) Visiting Researcher
- 2024/04 - 現在 The University of Tokyo Graduate School of Arts and Sciences Multi-Disciplinary Sciences Assistant Professor
- 2023/04 - 2024/03 Nagoya University Institute for Advanced Research, young researcher units for the advancement of new and undeveloped fields Designated assistant professor
- 2023/04 - 2024/03 Nagoya University Graduate School of Informatics Department of Intelligent Systems Designated assistant professor
- 2023/09 - 2023/10 University of Konstanz Centre for the Advanced Study of Collective Behaviour Visiting Researcher
- 2022/04 - 2023/03 Nagoya University Graduate School of Informatics Future Value Creation Research Center (FV-CRC) Designated assistant professor
- 2020/05 - 2022/03 Nagoya University Graduate School of Informatics Department of Intelligent Systems Designated assistant professor
- 2020/04 - 2020/04 Nagoya University Graduate School of Informatics Department of Intelligent Systems Researcher
- 2019/05 - 2020/03 Nagoya University Institute of Innovation for Future Society Mobility Research Course Researcher
- 2018/10 - 2019/03 Tokyo Gakugei University Faculty of Education Part-time lecturer
- 2017/04 - 2019/03 Japan Society for the Promotion of Science Research Fellowship for Young Scientists (DC2)
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Committee career (3)：
- 2024/09 - 2024/09 International Symposium on Swarm Behavior and Bio-Inspired Robotics (SWARM) Program committee Organized Session: Bio-Navigation System in SWARM: Integrated Cyber and Physical Approaches
- 2022/11 - 2023/05 International Workshop on Behavior analysis and Recognition for knowledge Discovery (BiRD) Program committee: Biology & Neuroscience
- 2021/06 - International Symposium on Information and Communication Technology (SoICT) Program Committee: AI Foundation and Big Data
Awards (5)：
- 2023/07 - The Japanese Society for Artificial Intelligence (JSAI) JSAI Annual Conference Award The 37th the Japanese Society for Artificial Intelligence (JSAI'22)
- 2023/01 - Statistics in Sports: A section in Japan Statistical Society Award Sports Data Analysis Competition: Soccer Division
- 2022/10 - Japanese Society of Sport Psychology Outstanding Presentation Award (Oral) The 49th Japanese Society of Sport Psychology
- 2022/01 - Statistics in Sports: A section in Japan Statistical Society Excellence Award Sports Data Analysis Competition: Soccer Division
- 2021/11 - Information and Systems Society (ISS) of the Institute of Electronics, Information and Communication Engineers (IEICE) Outstanding Presentation Award Finalist The 24th Information-Based Induction Sciences (IBIS2021)
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