Shinji Ito

4 papers The University of Tokyo

• Adapting to Stochastic and Adversarial Losses in Episodic MDPs with Aggregate Bandit Feedback
• Optimal Dynamic Regret by Transformers for Non-Stationary Reinforcement Learning
• Optimal Regret of Bandits under Differential Privacy
• Revisiting Follow-the-Perturbed-Leader with Unbounded Perturbations in Bandit Problems