10 citations · 10 across the 7 of their papers we have counts for
6 papers · 1 filter
Choosing What Game to Play without Selecting Equilibria: Inferring Safe (Pareto) Improvements in Binary Constraint Structures
Caspar Oesterheld, Vincent Conitzer
We consider a setting in which a principal gets to choose which game from some given set is played by a group of agents. The principal would like to choose a game that favors one o…
AI Testing Should Account for Sophisticated Strategic Behaviour
Vojtech Kovarik, Eric Olav Chen, Sami Petersen +2
This position paper argues for two claims regarding AI testing and evaluation. First, to remain informative about deployment behaviour, evaluations need account for the possibility…
Maximizing Social Welfare with Side Payments
Ivan Geffner, Caspar Oesterheld, Vincent Conitzer
We examine normal-form games in which players may \emph{pre-commit} to outcome-contingent transfers before choosing their actions. In the one-shot version of this model, Jackson an…
Characterising Simulation-Based Program Equilibria
Emery Cooper, Caspar Oesterheld, Vincent Conitzer
In Tennenholtz's program equilibrium, players of a game submit programs to play on their behalf. Each program receives the other programs' source code and outputs an action. This c…
Aggregating Quantitative Relative Judgments: From Social Choice to Ranking Prediction
Yixuan Even Xu, Hanrui Zhang, Yu Cheng +1
Quantitative Relative Judgment Aggregation (QRJA) is a new research topic in (computational) social choice. In the QRJA model, agents provide judgments on the relative quality of d…
Game Theory with Simulation in the Presence of Unpredictable Randomisation
Vojtech Kovarik, Nathaniel Sauerberg, Lewis Hammond +1
AI agents will be predictable in certain ways that traditional agents are not. Where and how can we leverage this predictability in order to improve social welfare? We study this q…