1 citations · 2 across the 6 of their papers we have counts for
6 papers
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…
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…
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…
Who Benefits from a Multi-Cloud Market? A Trading Networks Based Analysis
Segev Wasserkrug, Takayuki Osogami
In enterprise cloud computing, there is a big and increasing investment to move to multi-cloud computing, which allows enterprises to seamlessly utilize IT resources from multiple…
Proofs and additional experiments on Second order techniques for learning time-series with structural breaks
Takayuki Osogami
We provide complete proofs of the lemmas about the properties of the regularized loss function that is used in the second order techniques for learning time-series with structural…
Supplementary material for Uncorrected least-squares temporal difference with lambda-return
Takayuki Osogami
Here, we provide a supplementary material for Takayuki Osogami, "Uncorrected least-squares temporal difference with lambda-return," which appears in {\it Proceedings of the 34th AA…