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Taihei Oki — most-cited papers & profile · Reinforcement Learning
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Taihei Oki
3
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Most-cited papers
Finite and Corruption-Robust Regret Bounds in Online Inverse Linear Optimization under M-Convex Action Sets
2026
Generalization Bound and Learning Methods for Data-Driven Projections in Linear Programming
2023
No-Regret M-Concave Function Maximization: Stochastic Bandit Algorithms and Hardness of Adversarial Full-Information Setting
2024
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Shinsaku Sakaue
· 3
Topics
cs.LG
cs.DS
stat.ML