新任教員紹介
筒井 和詩（ツツイ カズシ）
| 所属 | 専攻広域科学専攻・生命環境科学系 |
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| 学科統合自然科学科 | |
| 部会スポーツ・身体運動 | |
| 職名 | 助教 |
| 発令年月日 | 2024年4月 1日 |
| 略歴 | ■最終学歴 東京大学大学院総合文化研究科・広域科学専攻・生命環境科学系 |
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| ■学位 2020年2月 博士（学術） |
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| ■前任職 名古屋大学情報学研究科 特任助教 |
| 担当科目 | ■前期課程 身体運動・健康科学実習、スポーツ・身体運動実習 |
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| ■後期課程 スポーツ科学演習 |
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| ■大学院 認知行動科学演習III |
| 研究活動 | ■研究分野 スポーツ科学 |
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| ■研究業績 1.Kazushi Tsutsui, Ryoya Tanaka, Kazuya Takeda, Keisuke Fujii. Collaborative hunting in artificial agents with deep reinforcement learning, eLife (accepted) 2024 2.Tomohiro Suzuki, Kazushi Tsutsui, Kazuya Takeda, Keisuke Fujii, Runner re-identification from single-view video in the open-world setting, Multimedia Tools and Applications (accepted) 2024 3.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) 2 27-39 2024 4.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 11 131237-131244 2023 5.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 6.Masakiyo Teranishi, Kazushi Tsutsui, Kazuya Takeda, Keisuke Fujii, Evaluation of creating scoring opportunities for teammates in soccer via trajectory prediction, Proceedings of the 9th Workshop on Machine Learning and Data Mining for Sports Analytics (MLSA'22) co-located with the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery (ECML-PKDD'22) 2022 7.Kazushi Tsutsui, Kazuya Takeda, Keisuke Fujii, Emergence of Collaborative Hunting via Multi-Agent Deep Reinforcement Learning, Proceedings of the 12th International Workshop on Human Behavior Understanding (HBU'22) in conjunction with International Conference on Pattern Recognition (ICPR'22) 2022 8.Keisuke Fujii, Naoya Takeishi, Kazushi Tsutsui, Emyo Fujioka, Nozomi Nishiumi, Ryoya Tanaka, Mika Fukushiro, Kaoru Ide, Hiroyoshi Kohno, Ken Yoda, Susumu Takahashi, Shizuko Hiryu, Yoshinobu Kawahara, Learning interaction rules from multi-animal trajectories via augmented behavioral model, Advances in Neural Information Processing Systems (NeurIPS'21) 34 11108-11122 2021 9.Kazushi Tsutsui, Keisuke Fujii, Kazutoshi Kudo, Kazuya Takeda, Flexible prediction of opponent motion with internal representation in interception behavior, Biological Cybernetics 10.Tatsuya Yoshikawa, Kazushi Tsutsui, Kazuya Takeda, Keisuke Fujii, Extraction of swing motion contributing to prediction of shuttle drop position in badminton, Proceedings of the 30th International Joint Conference on Artificial Intelligence (IJCAI'21) Workshop on AI for Sports Analytics (AISA) 2021 |
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