4 citations · 9 across the 7 of their papers we have counts for
8 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…
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…
Regression with Sensor Data Containing Incomplete Observations
Takayuki Katsuki, Takayuki Osogami
This paper addresses a regression problem in which output label values are the results of sensing the magnitude of a phenomenon. A low value of such labels can mean either that the…
Mechanism Learning for Trading Networks
Takayuki Osogami, Segev Wasserkrug, Elisheva S. Shamash
We study the problem of designing mechanisms for trading networks that satisfy four desired properties: dominant-strategy incentive compatibility, efficiency, weak budget balance (…
Online Learning in Supply-Chain Games
Nicolò Cesa-Bianchi, Tommaso Cesari, Takayuki Osogami +2
We study a repeated game between a supplier and a retailer who want to maximize their respective profits without full knowledge of the problem parameters. After characterizing the…