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20242026
most citedMulti-Agent Risks from Advanced AI

10 citations · 12 across the 14 of their papers we have counts for

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8 papers · 1 filter

cs.GT2026

How Many Votes is a Lie Worth? Measuring Strategyproofness through Resource Augmentation

Ratip Emin Berker, Vincent Conitzer, Eden Hartman +2

It is well known, by the Gibbard-Satterthwaite Theorem, that when there are more than two candidates, any non-dictatorial voting rule can be manipulated by untruthful voters. But h…

cs.GT2025

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…

cs.GT2025

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…

cs.GT2025

Promises Made, Promises Kept: Safe Pareto Improvements via Ex Post Verifiable Commitments

Nathaniel Sauerberg, Caspar Oesterheld

A safe Pareto improvement (SPI) [41] is a modification of a game that leaves all players better off with certainty. SPIs are typically proven under qualitative assumptions about th…

cs.GT2025

Computing Game Symmetries and Equilibria That Respect Them

Emanuel Tewolde, Brian Hu Zhang, Caspar Oesterheld +2

Strategic interactions can be represented more concisely, and analyzed and solved more efficiently, if we are aware of the symmetries within the multiagent system. Symmetries also…

cs.GT2025

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…

cs.GT2024★ 1 cited

Imperfect-Recall Games: Equilibrium Concepts and Their Complexity

Emanuel Tewolde, Brian Hu Zhang, Caspar Oesterheld +4

We investigate optimal decision making under imperfect recall, that is, when an agent forgets information it once held before. An example is the absentminded driver game, as well a…

cs.GT2024

Computing Optimal Commitments to Strategies and Outcome-Conditional Utility Transfers

Nathaniel Sauerberg, Caspar Oesterheld

Prior work has studied the computational complexity of computing optimal strategies to commit to in Stackelberg or leadership games, where a leader commits to a strategy which is o…