Tadashi Kozuno
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
15
Venues
7
Active years
2019–2025
Best venue rank
A*
Where they publish
Papers
15 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICLR | Near-Optimal Policy Identification in Robust Constrained Markov Decision Processes via Epigraph Form. | Toshinori Kitamura, Tadashi Kozuno, Wataru Kumagai, Kenta Hoshino, Yohei Hosoe, Kazumi Kasaura, Masashi Hamaya, Paavo Parmas, Yutaka Matsuo |
| 2025 | ICML | The Harder Path: Last Iterate Convergence for Uncoupled Learning in Zero-Sum Games with Bandit Feedback. | Cme Fiegel, Pierre Mnard, Tadashi Kozuno, Michal Valko, Vianney Perchet |
| 2024 | ECCV | Hand2Any: Hand-to-Any Motion Mapping with Few-Shot User Adaptation for Avatar Manipulation. | Riku Shinohara, Atsushi Hashimoto, Tadashi Kozuno, Shigeo Yoshida, Yutaro Hirao, Monica Perusqua-Hernndez, Hideaki Uchiyama, Kiyoshi Kiyokawa |
| 2024 | ICRA | When to Replan? An Adaptive Replanning Strategy for Autonomous Navigation using Deep Reinforcement Learning. | Kohei Honda, Ryo Yonetani, Mai Nishimura, Tadashi Kozuno |
| 2024 | ICRA | Symmetry-aware Reinforcement Learning for Robotic Assembly under Partial Observability with a Soft Wrist. | Hai Nguyen, Tadashi Kozuno, Cristian C. Beltran-Hernandez, Masashi Hamaya |
| 2024 | IROS | Multi-Agent Behavior Retrieval: Retrieval-Augmented Policy Training for Cooperative Push Manipulation by Mobile Robots. | So Kuroki, Mai Nishimura, Tadashi Kozuno |
| 2024 | IROS | Language-Guided Pattern Formation for Swarm Robotics with Multi-Agent Reinforcement Learning. | Hsu-Shen Liu, So Kuroki, Tadashi Kozuno, Wei-Fang Sun, Chun-Yi Lee |
| 2024 | ISMAR | Hand2Any: Real-time Avatar Manipulation through Hand-to-Any Motion Mapping with Few-Shot User Adaptation. | Riku Shinohara, Atsushi Hashimoto, Tadashi Kozuno, Shigeo Yoshida, Yutaro Hirao, Monica Perusqua-Hernndez, Hideaki Uchiyama, Kiyoshi Kiyokawa |
| 2023 | ICML | Adapting to game trees in zero-sum imperfect information games. | Cme Fiegel, Pierre Mnard, Tadashi Kozuno, Rmi Munos, Vianney Perchet, Michal Valko |
| 2023 | ICML | Regularization and Variance-Weighted Regression Achieves Minimax Optimality in Linear MDPs: Theory and Practice. | Toshinori Kitamura, Tadashi Kozuno, Yunhao Tang, Nino Vieillard, Michal Valko, Wenhao Yang, Jincheng Mei, Pierre Mnard, Mohammad Gheshlaghi Azar, Rmi Munos, Olivier Pietquin, Matthieu Geist, Csaba Szepesvri, Wataru Kumagai, Yutaka Matsuo |
| 2023 | ICML | DoMo-AC: Doubly Multi-step Off-policy Actor-Critic Algorithm. | Yunhao Tang, Tadashi Kozuno, Mark Rowland, Anna Harutyunyan, Rmi Munos, Bernardo vila Pires, Michal Valko |
| 2022 | ICLR | Variational oracle guiding for reinforcement learning. | Dongqi Han, Tadashi Kozuno, Xufang Luo, Zhao-Yun Chen, Kenji Doya, Yuqing Yang, Dongsheng Li |
| 2021 | ICML | Policy Information Capacity: Information-Theoretic Measure for Task Complexity in Deep Reinforcement Learning. | Hiroki Furuta, Tatsuya Matsushima, Tadashi Kozuno, Yutaka Matsuo, Sergey Levine, Ofir Nachum, Shixiang Shane Gu |
| 2021 | ICML | Revisiting Peng's Q(λ) for Modern Reinforcement Learning. | Tadashi Kozuno, Yunhao Tang, Mark Rowland, Rmi Munos, Steven Kapturowski, Will Dabney, Michal Valko, David Abel |
| 2019 | AISTATS | Theoretical Analysis of Efficiency and Robustness of Softmax and Gap-Increasing Operators in Reinforcement Learning. | Tadashi Kozuno, Eiji Uchibe, Kenji Doya |