most citedRandomise Alone, Reach as a Team

1 citations · 2 across the 5 of their papers we have counts for

collaborators

7 papers

cs.GT2026

Algorithms for Equilibria in Concurrent Stopping Games

Léonard Brice, Thomas A. Henzinger, K. S. Thejaswini

Concurrent games are a standard model for multi-agent systems, with Nash equilibrium as their central solution concept. The associated \emph{constrained existence problem}---does a…

cs.GT2026

Equilibria in Multiplayer Graph Games: An Algorithmic Study

Léonard Brice

To verify the robustness of a program or protocol, it is common in the computer science community to rely on the theoretical framework of game theory. In particular, if one seeks t…

cs.GT20261 cited

Randomise Alone, Reach as a Team

Léonard Brice, Thomas A. Henzinger, Alipasha Montaseri +2

We study concurrent graph games where n players cooperate against an opponent to reach a set of target states. Unlike traditional settings, we study distributed randomisation: team…

cs.GT20261 cited

Dicey Games: Shared Sources of Randomness in Distributed Systems

Léonard Brice, Thomas A. Henzinger, K. S. Thejaswini

Consider a 4-player version of Matching Pennies where a team of three players competes against the Devil. Each player simultaneously says "Heads" or "Tails". The team wins if all f…

cs.AI2026

Multi-Environment POMDPs with Finite-Horizon Objectives

Léonard Brice, Filip Cano, Krishnendu Chatterjee +2

Partially Observable Markov Decision Processes (POMDPs) are systems in which one agent interacts with a stochastic environment, and receives only partial information about the curr…

cs.GT2026

ε-Stationary Nash Equilibria in Multi-player Stochastic Graph Games

Ali Asadi, Léonard Brice, Krishnendu Chatterjee +1

A strategy profile in a multi-player game is a Nash equilibrium if no player can unilaterally deviate to achieve a strictly better payoff. A profile is an -Nash equilibrium if…