227 citations · 638 across the 77 of their papers we have counts for
5 papers · 1 filter
K-Implementation
D. Monderer, M. Tennenholtz
This paper discusses an interested party who wishes to influence the behavior of agents in a game (multi-agent interaction), which is not under his control. The interested party ca…
Learning to Coordinate Efficiently: A Model-based Approach
R. I. Brafman, M. Tennenholtz
In common-interest stochastic games all players receive an identical payoff. Players participating in such games must learn to coordinate with each other in order to receive the hi…
Competitive Safety Analysis: Robust Decision-Making in Multi-Agent Systems
M. Tennenholtz
Much work in AI deals with the selection of proper actions in a given (known or unknown) environment. However, the way to select a proper action when facing other agents is quite u…
Stability Scores: Measuring Coalitional Stability
Michal Feldman, Reshef Meir, Moshe Tennenholtz
We introduce a measure for the level of stability against coalitional deviations, called \emph{stability scores}, which generalizes widely used notions of stability in non-cooperat…
Mechanism design with uncertain inputs (to err is human, to forgive divine)
Uriel Feige, Moshe Tennenholtz
We consider a task of scheduling with a common deadline on a single machine. Every player reports to a scheduler the length of his job and the scheduler needs to finish as many job…