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Estimating counterfactual treatment outcomes over time in complex multi-agent scenarios



Keisuke Fujii , Koh Takeuchi , Atsushi Kuribayashi , Naoya Takeishi , Yoshinobu Kawahara , Kazuya Takeda

* 13 pages, 6 figures 

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Koopman Q-learning: Offline Reinforcement Learning via Symmetries of Dynamics



Matthias Weissenbacher , Samarth Sinha , Animesh Garg , Yoshinobu Kawahara


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Learning interaction rules from multi-animal trajectories via augmented behavioral models



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

* 22 pages, 4 figures 

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Koopman Spectrum Nonlinear Regulator and Provably Efficient Online Learning



Motoya Ohnishi , Isao Ishikawa , Kendall Lowrey , Masahiro Ikeda , Sham Kakade , Yoshinobu Kawahara


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A Quadratic Actor Network for Model-Free Reinforcement Learning



Matthias Weissenbacher , Yoshinobu Kawahara

* 8 pages, 15 figures 

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Discriminant Dynamic Mode Decomposition for Labeled Spatio-Temporal Data Collections



Naoya Takeishi , Keisuke Fujii , Koh Takeuchi , Yoshinobu Kawahara


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Meta-Learning for Koopman Spectral Analysis with Short Time-series



Tomoharu Iwata , Yoshinobu Kawahara


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Reproducing kernel Hilbert C*-module and kernel mean embeddings



Yuka Hashimoto , Isao Ishikawa , Masahiro Ikeda , Fuyuta Komura , Takeshi Katsura , Yoshinobu Kawahara

* merged two unpablished papers arXiv:2003.00738 and 2007.14698 into this paper. arXiv admin note: text overlap with arXiv:2007.14698 

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Neural Dynamic Mode Decomposition for End-to-End Modeling of Nonlinear Dynamics



Tomoharu Iwata , Yoshinobu Kawahara


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