Edwin Meriaux

Do LLMs Beat Nash? Testing Decentralized Coordination in Self-Play Multi-Agent Games

Deborah Sinishaw

Qile Zhu

Large language model agents deployed without a central controller are often assumed to require communication to coordinate their actions. We… (voir plus) ask what remains possible without it: when independent instances of the same model cannot communicate, can they still reason about their counterparts well enough to exceed the standard game-theoretic baseline for uncoordinated play? We introduce a benchmark of one-shot, no-communication games in which each of thirteen language models is told only that its counterparts are running the same model and is evaluated against the Nash equilibrium of the underlying game. In two-player matrix games spanning seven archetypes and two to ten actions per player, two frontier-hosted models consistently exceed their Nash benchmark, approaching the optimal joint outcome in several archetypes, while most open-weight models achieve only partial gains that vary sharply by game structure. Performance degrades substantially in team-based games with four or more interchangeable agents, particularly as the action space grows, suggesting that whatever capability drives self-play gains in dyadic games does not transfer to larger multi-agent teams.

2026-08-11

arXiv (prépublication)

doi.org

arxiv.org

AMP2026: A Multi-Platform Marine Robotics Dataset for Tracking and Mapping

Edwin Meriaux

Shuo Wen

David Widhalm

Zhizun Wang

Junming Shi

Mariana Sosa Guzmán

Kalvik Jakkala

Bennett Carley

Elias Sokolova

Yogesh Girdhar

Monika Roznere

Jason O’Kane

Junaed Sattar

Gregory Dudek

Marine environments present significant challenges for perception and autonomy due to dynamic surfaces, limited visibility, and complex inte… (voir plus)ractions between aerial, surface, and submerged sensing modalities. This paper introduces the Aerial Marine Perception Dataset (AMP2026), a multi-platform marine robotics dataset collected across multiple field deployments designed to support research in two primary areas: multi-view tracking and marine environment mapping. The dataset includes synchronized data from aerial drones, boat-mounted cameras, and submerged robotic platforms, along with associated localization and telemetry information. The goal of this work is to provide a publicly available dataset enabling research in marine perception and multi-robot observation scenarios. This paper describes the data collection methodology, sensor configurations, dataset organization, and intended research tasks supported by the dataset.

2026-05-13

Conference on Robots and Vision (publié)

doi.org

arxiv.org

On Mobile Ad Hoc Networks for Coverage of Partially Observable Worlds

Edwin Meriaux

Shuo Wen

Louis-Roy Langevin

Doina Precup

Antonio Lor'ia

Gregory Dudek

2025-12-09