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ORCIDToshinori Kitamura
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2020 – today
- 2025
[c5]Toshinori Kitamura, Tadashi Kozuno, Wataru Kumagai, Kenta Hoshino, Yohei Hosoe, Kazumi Kasaura, Masashi Hamaya, Paavo Parmas, Yutaka Matsuo:
Near-Optimal Policy Identification in Robust Constrained Markov Decision Processes via Epigraph Form. ICLR 2025- [c4]Takeshi Kojima, Yaonan Zhu, Yusuke Iwasawa, Toshinori Kitamura, Gang Yan, Shu Morikuni, Ryosuke Takanami, Alfredo Solano, Tatsuya Matsushima, Akiko Murakami, Yutaka Matsuo:
A Comprehensive Survey on Physical Risk Control in the Era of Foundation Model-enabled Robotics. IJCAI 2025: 10517-10527 - [i10]Toshinori Kitamura, Arnob Ghosh, Tadashi Kozuno, Wataru Kumagai, Kazumi Kasaura, Kenta Hoshino, Yohei Hosoe, Yutaka Matsuo:
Provably Efficient RL under Episode-Wise Safety in Constrained MDPs with Linear Function Approximation. CoRR abs/2502.10138 (2025) - [i9]Takeshi Kojima, Yaonan Zhu, Yusuke Iwasawa, Toshinori Kitamura, Gang Yan, Shu Morikuni, Ryosuke Takanami, Alfredo Solano, Tatsuya Matsushima, Akiko Murakami, Yutaka Matsuo:
A Comprehensive Survey on Physical Risk Control in the Era of Foundation Model-enabled Robotics. CoRR abs/2505.12583 (2025) - 2024
- [i8]Toshinori Kitamura, Tadashi Kozuno, Masahiro Kato, Yuki Ichihara, Soichiro Nishimori, Akiyoshi Sannai, Sho Sonoda, Wataru Kumagai, Yutaka Matsuo:
A Policy Gradient Primal-Dual Algorithm for Constrained MDPs with Uniform PAC Guarantees. CoRR abs/2401.17780 (2024) - [i7]Toshinori Kitamura, Tadashi Kozuno, Wataru Kumagai, Kenta Hoshino, Yohei Hosoe, Kazumi Kasaura, Masashi Hamaya, Paavo Parmas, Yutaka Matsuo:
Near-Optimal Policy Identification in Robust Constrained Markov Decision Processes via Epigraph Form. CoRR abs/2408.16286 (2024) - 2023
- [c3]Toshinori Kitamura, Tadashi Kozuno, Yunhao Tang, Nino Vieillard, Michal Valko, Wenhao Yang, Jincheng Mei, Pierre Ménard, Mohammad Gheshlaghi Azar, Rémi Munos, Olivier Pietquin, Matthieu Geist, Csaba Szepesvári, Wataru Kumagai, Yutaka Matsuo:
Regularization and Variance-Weighted Regression Achieves Minimax Optimality in Linear MDPs: Theory and Practice. ICML 2023: 17135-17175 - [i6]Toshinori Kitamura, Tadashi Kozuno, Yunhao Tang, Nino Vieillard, Michal Valko, Wenhao Yang, Jincheng Mei, Pierre Ménard, Mohammad Gheshlaghi Azar, Rémi Munos, Olivier Pietquin, Matthieu Geist, Csaba Szepesvári, Wataru Kumagai, Yutaka Matsuo:
Regularization and Variance-Weighted Regression Achieves Minimax Optimality in Linear MDPs: Theory and Practice. CoRR abs/2305.13185 (2023) - 2022
- [i5]Tadashi Kozuno, Wenhao Yang, Nino Vieillard, Toshinori Kitamura, Yunhao Tang, Jincheng Mei, Pierre Ménard, Mohammad Gheshlaghi Azar, Michal Valko, Rémi Munos, Olivier Pietquin, Matthieu Geist, Csaba Szepesvári:
KL-Entropy-Regularized RL with a Generative Model is Minimax Optimal. CoRR abs/2205.14211 (2022) - 2021
- [c2]Lingwei Zhu, Toshinori Kitamura, Takamitsu Matsubara:
Cautious Actor-Critic. ACML 2021: 220-235 - [c1]Toshinori Kitamura, Lingwei Zhu, Takamitsu Matsubara:
Geometric Value Iteration: Dynamic Error-Aware KL Regularization for Reinforcement Learning. ACML 2021: 918-931 - [i4]Lingwei Zhu, Toshinori Kitamura, Takamitsu Matsubara:
Cautious Actor-Critic. CoRR abs/2107.05217 (2021) - [i3]Lingwei Zhu, Toshinori Kitamura, Takamitsu Matsubara:
Cautious Policy Programming: Exploiting KL Regularization in Monotonic Policy Improvement for Reinforcement Learning. CoRR abs/2107.05798 (2021) - [i2]Toshinori Kitamura, Lingwei Zhu, Takamitsu Matsubara:
Geometric Value Iteration: Dynamic Error-Aware KL Regularization for Reinforcement Learning. CoRR abs/2107.07659 (2021) - [i1]Toshinori Kitamura, Ryo Yonetani:
ShinRL: A Library for Evaluating RL Algorithms from Theoretical and Practical Perspectives. CoRR abs/2112.04123 (2021)
2010 – 2019
- 2011
- [j1]Xi Lu, Junko Watanabe, Qingbo Liu, Masayo Uji, Masahiro Shono, Toshinori Kitamura:
Internet and mobile phone text-messaging dependency: Factor structure and correlation with dysphoric mood among Japanese adults. Comput. Hum. Behav. 27(5): 1702-1709 (2011)
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