3 papers
cs.LG2026
Distorted Distributional Policy Evaluation for Offline Reinforcement Learning
Ryo Iwaki, Takayuki Osogami
While Distributional Reinforcement Learning (DRL) methods have demonstrated strong performance in online settings, its success in offline scenarios remains limited. We hypothesize…
cs.GT2025
Achieving PAC Guarantees in Mechanism Design through Multi-Armed Bandits
Takayuki Osogami, Hirota Kinoshita, Segev Wasserkrug
We analytically derive a class of optimal solutions to a linear program (LP) for automated mechanism design that satisfies efficiency, incentive compatibility, strong budget balanc…
cs.GT2024
Socially efficient mechanism on the minimum budget
Hirota Kinoshita, Takayuki Osogami, Kohei Miyaguchi
In social decision-making among strategic agents, a universal focus lies on the balance between social and individual interests. Socially efficient mechanisms are thus desirably de…