Kitamura, Toshinori

7 publications

IJCAI 2025 A Comprehensive Survey on Physical Risk Control in the Era of Foundation Model-Enabled Robotics Takeshi Kojima, Yaonan Zhu, Yusuke Iwasawa, Toshinori Kitamura, Gang Yan, Shu Morikuni, Ryosuke Takanami, Alfredo Solano, Tatsuya Matsushima, Akiko Murakami, Yutaka Matsuo

ICLR 2025 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

NeurIPS 2025 Provably Efficient RL Under Episode-Wise Safety in Constrained MDPs with Linear Function Approximation Toshinori Kitamura, Arnob Ghosh, Tadashi Kozuno, Wataru Kumagai, Kazumi Kasaura, Kenta Hoshino, Yohei Hosoe, Yutaka Matsuo

ICML 2023 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 Menard, Mohammad Gheshlaghi Azar, Remi Munos, Olivier Pietquin, Matthieu Geist, Csaba Szepesvari, Wataru Kumagai, Yutaka Matsuo

ACML 2021 Cautious Actor-Critic Lingwei Zhu, Toshinori Kitamura, Matsubara Takamitsu

ACML 2021 Geometric Value Iteration: Dynamic Error-Aware KL Regularization for Reinforcement Learning Toshinori Kitamura, Lingwei Zhu, Takamitsu Matsubara

NeurIPSW 2021 ShinRL: A Library for Evaluating RL Algorithms from Theoretical and Practical Perspectives Toshinori Kitamura, Ryo Yonetani