Toshinori Kitamura

5 papers · 2021–2025 · 4 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (11)

Venues

ACML (2) ICLR (1) ICML (1) IJCAI (1)

Top co-authors

Yutaka Matsuo (3) Tadashi Kozuno (2) Wataru Kumagai (2) Lingwei Zhu (2) Yusuke Iwasawa (1) Ryosuke Takanami (1) Wenhao Yang (1) Shu Morikuni (1) Tatsuya Matsushima (1) Olivier Pietquin (1)

Research topics

Reinforcement Learning (4) Methods (4) Machine Learning (3) Optimization & Theory · Machine Learning (3) Applications (2) Learning Types (2) Artificial Intelligence (1) Deep Learning (1) Core AI (1) Optimization & Theory · Deep Learning (1)

Keywords

entropy regularization (2) value iteration (2) reinforcement learning (2) minimax optimality (1) human-robot interaction (1) robot control (1) kl regularization (1) off-policy learning (1) mirror descent (1) foundation model (1) linear mdp (1) error bound (1) conservative policy iteration (1) variance-weighted regression (1) value-based deep rl (1) actor critic (1) kullback-leibler regularization (1) physical risk control (1) bisection search (1) epigraph form (1)

Papers

A Comprehensive Survey on Physical Risk Control in the Era of Foundation Model-enabled Robotics IJCAI 2025 Near-Optimal Policy Identification in Robust Constrained Markov Decision Processes via Epigraph Form ICLR 2025 Regularization and Variance-Weighted Regression Achieves Minimax Optimality in Linear MDPs: Theory and Practice ICML 2023 Cautious Actor-Critic ACML 2021 Geometric Value Iteration: Dynamic Error-Aware KL Regularization for Reinforcement Learning ACML 2021