Tadashi Kozuno

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 42

Top Topics

Reinforcement Learning

Top Venues

Publications

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 (2024)
Hai Nguyen, Tadashi Kozuno, Cristian C. Beltran-Hernandez, Masashi Hamaya
Symmetry-aware Reinforcement Learning for Robotic Assembly under Partial Observability with a Soft Wrist. ICRA (2024)
Kohei Honda, Ryo Yonetani, Mai Nishimura, Tadashi Kozuno
When to Replan? An Adaptive Replanning Strategy for Autonomous Navigation using Deep Reinforcement Learning. ICRA (2024)
Hai Nguyen, Tadashi Kozuno, Cristian C. Beltran-Hernandez, Masashi Hamaya
Symmetry-aware Reinforcement Learning for Robotic Assembly under Partial Observability with a Soft Wrist. CoRR (2024)
Kazumi Kasaura, Shuwa Miura, Tadashi Kozuno, Ryo Yonetani, Kenta Hoshino, Yohei Hosoe
Benchmarking Actor-Critic Deep Reinforcement Learning Algorithms for Robotics Control With Action Constraints. IEEE Robotics Autom. Lett. 8 (8) (2023)
Côme Fiegel, Pierre Ménard, Tadashi Kozuno, Rémi Munos, Vianney Perchet, Michal Valko
Local and adaptive mirror descents in extensive-form games. CoRR (2023)
Hikaru Asano, Ryo Yonetani, Mai Nishimura, Tadashi Kozuno
Counterfactual Fairness Filter for Fair-Delay Multi-Robot Navigation. CoRR (2023)
Kazumi Kasaura, Shuwa Miura, Tadashi Kozuno, Ryo Yonetani, Kenta Hoshino, Yohei Hosoe
Benchmarking Actor-Critic Deep Reinforcement Learning Algorithms for Robotics Control with Action Constraints. CoRR (2023)
Yunhao Tang, Tadashi Kozuno, Mark Rowland, Anna Harutyunyan, Rémi Munos, Bernardo Ávila Pires, Michal Valko
DoMo-AC: Doubly Multi-step Off-policy Actor-Critic Algorithm. ICML (2023)
Côme Fiegel, Pierre Ménard, Tadashi Kozuno, Rémi Munos, Vianney Perchet, Michal Valko
Adapting to game trees in zero-sum imperfect information games. ICML (2023)
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 (2023)
Hikaru Asano, Ryo Yonetani, Mai Nishimura, Tadashi Kozuno
Counterfactual Fairness Filter for Fair-Delay Multi-Robot Navigation. AAMAS (2023)
Kohei Honda, Ryo Yonetani, Mai Nishimura, Tadashi Kozuno
When to Replan? An Adaptive Replanning Strategy for Autonomous Navigation using Deep Reinforcement Learning. CoRR (2023)
So Kuroki, Mai Nishimura, Tadashi Kozuno
Multi-Agent Behavior Retrieval. CoRR (2023)
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)
Wenhao Yang, Han Wang, Tadashi Kozuno, Scott M. Jordan, Zhihua Zhang
Avoiding Model Estimation in Robust Markov Decision Processes with a Generative Model. CoRR (2023)
Yunhao Tang, Tadashi Kozuno, Mark Rowland, Anna Harutyunyan, Rémi Munos, Bernardo Ávila Pires, Michal Valko
DoMo-AC: Doubly Multi-step Off-policy Actor-Critic Algorithm. CoRR (2023)
Han Wang, Archit Sakhadeo, Adam M. White, James Bell, Vincent Liu, Xutong Zhao, Puer Liu, Tadashi Kozuno, Alona Fyshe, Martha White
No More Pesky Hyperparameters: Offline Hyperparameter Tuning for RL. Trans. Mach. Learn. Res. 2022 (2022)
Han Wang, Archit Sakhadeo, Adam White, James Bell, Vincent Liu, Xutong Zhao, Puer Liu, Tadashi Kozuno, Alona Fyshe, Martha White
No More Pesky Hyperparameters: Offline Hyperparameter Tuning for RL. CoRR (2022)
Shinnosuke Yagi, Mutsuki Nakahara, Kosuke Suzuoki, Tadashi Kozuno, Daisuke Hisano
Deep Learning-based Nonlinear Quantizer for Fronthaul Compression. OECC/PSC (2022)
Gellért Weisz, András György, Tadashi Kozuno, Csaba Szepesvári
-realizable MDPs. CoRR (2022)
Côme Fiegel, Pierre Ménard, Tadashi Kozuno, Rémi Munos, Vianney Perchet, Michal Valko
Adapting to game trees in zero-sum imperfect information games. CoRR (2022)
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 (2022)
Dongqi Han, Tadashi Kozuno, Xufang Luo, Zhao-Yun Chen, Kenji Doya, Yuqing Yang, Dongsheng Li
Variational oracle guiding for reinforcement learning. ICLR (2022)
Alan Chan, Hugo Silva, Sungsu Lim, Tadashi Kozuno, A. Rupam Mahmood, Martha White
Greedification Operators for Policy Optimization: Investigating Forward and Reverse KL Divergences. J. Mach. Learn. Res. 23 (2022)
Gellért Weisz, András György, Tadashi Kozuno, Csaba Szepesvári
Confident Approximate Policy Iteration for Efficient Local Planning in $q^\pi$-realizable MDPs. NeurIPS (2022)
Hiroki Furuta, Tadashi Kozuno, Tatsuya Matsushima, Yutaka Matsuo, Shixiang Shane Gu
Co-Adaptation of Algorithmic and Implementational Innovations in Inference-based Deep Reinforcement Learning. NeurIPS (2021)
Yunhao Tang, Tadashi Kozuno, Mark Rowland, Rémi Munos, Michal Valko
Unifying Gradient Estimators for Meta-Reinforcement Learning via Off-Policy Evaluation. NeurIPS (2021)
Tadashi Kozuno, Yunhao Tang, Mark Rowland, Rémi Munos, Steven Kapturowski, Will Dabney, Michal Valko, David Abel
Revisiting Peng's Q(λ) for Modern Reinforcement Learning. CoRR (2021)
Hiroki Furuta, Tatsuya Matsushima, Tadashi Kozuno, Yutaka Matsuo, Sergey Levine, Ofir Nachum, Shixiang Shane Gu
Policy Information Capacity: Information-Theoretic Measure for Task Complexity in Deep Reinforcement Learning. CoRR (2021)
Tadashi Kozuno, Pierre Ménard, Rémi Munos, Michal Valko
Model-Free Learning for Two-Player Zero-Sum Partially Observable Markov Games with Perfect Recall. CoRR (2021)
Alan Chan, Hugo Silva, Sungsu Lim, Tadashi Kozuno, A. Rupam Mahmood, Martha White
Greedification Operators for Policy Optimization: Investigating Forward and Reverse KL Divergences. CoRR (2021)
Hiroki Furuta, Tatsuya Matsushima, Tadashi Kozuno, Yutaka Matsuo, Sergey Levine, Ofir Nachum, Shixiang Shane Gu
Policy Information Capacity: Information-Theoretic Measure for Task Complexity in Deep Reinforcement Learning. ICML (2021)
Tadashi Kozuno, Yunhao Tang, Mark Rowland, Rémi Munos, Steven Kapturowski, Will Dabney, Michal Valko, David Abel
Revisiting Peng's Q(λ) for Modern Reinforcement Learning. ICML (2021)
Yunhao Tang, Tadashi Kozuno, Mark Rowland, Rémi Munos, Michal Valko
Unifying Gradient Estimators for Meta-Reinforcement Learning via Off-Policy Evaluation. CoRR (2021)
Tadashi Kozuno, Pierre Ménard, Rémi Munos, Michal Valko
Learning in two-player zero-sum partially observable Markov games with perfect recall. NeurIPS (2021)
Hiroki Furuta, Tadashi Kozuno, Tatsuya Matsushima, Yutaka Matsuo, Shixiang Shane Gu
Identifying Co-Adaptation of Algorithmic and Implementational Innovations in Deep Reinforcement Learning: A Taxonomy and Case Study of Inference-based Algorithms. CoRR (2021)
Nino Vieillard, Tadashi Kozuno, Bruno Scherrer, Olivier Pietquin, Rémi Munos, Matthieu Geist
Leverage the Average: an Analysis of Regularization in RL. CoRR (2020)
Nino Vieillard, Tadashi Kozuno, Bruno Scherrer, Olivier Pietquin, Rémi Munos, Matthieu Geist
Leverage the Average: an Analysis of KL Regularization in Reinforcement Learning. NeurIPS (2020)
Tadashi Kozuno, Dongqi Han, Kenji Doya
Gap-Increasing Policy Evaluation for Efficient and Noise-Tolerant Reinforcement Learning. CoRR (2019)
Tadashi Kozuno, Eiji Uchibe, Kenji Doya
Theoretical Analysis of Efficiency and Robustness of Softmax and Gap-Increasing Operators in Reinforcement Learning. AISTATS (2019)
Tadashi Kozuno, Eiji Uchibe, Kenji Doya
Unifying Value Iteration, Advantage Learning, and Dynamic Policy Programming. CoRR (2017)