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Toshinori Kitamura — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Toshinori Kitamura
9
papers ·
1
citations ·
48
h-index
University of Alberta
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
ShinRL: A Library for Evaluating RL Algorithms from Theoretical and Practical Perspectives
2021 · 1 citations
Emergence of Exploration in Policy Gradient Reinforcement Learning via Retrying
2026
Provably Efficient RL under Episode-Wise Safety in Constrained MDPs with Linear Function Approximation
2025
Cautious Policy Programming: Exploiting KL Regularization in Monotonic Policy Improvement for Reinforcement Learning
2021
Geometric Value Iteration: Dynamic Error-Aware KL Regularization for Reinforcement Learning
2021
KL-Entropy-Regularized RL with a Generative Model is Minimax Optimal
2022
Regularization and Variance-Weighted Regression Achieves Minimax Optimality in Linear MDPs: Theory and Practice
2023
A Policy Gradient Primal-Dual Algorithm for Constrained MDPs with Uniform PAC Guarantees
2024
Near-Optimal Policy Identification in Robust Constrained Markov Decision Processes via Epigraph Form
2024
Top co-authors
Tadashi Kozuno
· 6
Wataru Kumagai
· 4
Yutaka Matsuo
· 4
Csaba Szepesv\'ari
· 2
Jincheng Mei
· 2
Kazumi Kasaura
· 2
Kenta Hoshino
· 2
Lingwei Zhu
· 2
Matthieu Geist
· 2
Michal Valko
· 2
Mohammad Gheshlaghi Azar
· 2
Nino Vieillard
· 2
Topics
Safe RL
Value-Based
Policy Gradient
Model-Based RL
Exploration
Game AI