Kazushi Tsutsui, Ryoya Tanaka, Kazuya Takeda, Keisuke Fujii. Collaborative hunting in artificial agents with deep reinforcement learning. eLife. 2024
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
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
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
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
Deep Reinforcement Learning Workshop (Day 2)
(The Cluster of Excellence Centre for the Advanced Study of Collective Behaviour (CASCB) at the University of Konstanz and the Max Planck Institute of Animal Behavior 2023)
