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A Hamilton-Jacobi Formulation for Cooperative Control of Multi-Agent Systems

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In multi-agent reinforcement learning, multiple agents learn simultaneously while interacting with a common environment and each other. Since the agents adapt their policies during learning, not only the behavior of a single agent becomes non-stationary, b ...

ELSEVIER2023

Multi-agent Learning with Privacy Guarantees

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A multi-agent system consists of a collection of decision-making or learning agents subjected to streaming observations from some real-world phenomenon. The goal of the system is to solve some global learning or optimization problem in a distributed or dec ...

EPFL2023

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Pier Vittorio Aureli

Despite the increasing numbers of people who now work from home, in the popular imagination the home is still understood as the sanctuary of privacy and intimacy. Living is conceptually and definitively separated from work. This book argues against such a ...

The MIT Press2022

Exploiting environmental signals to enable policy correlation in large-scale decentralized systems

Boi Faltings, Zeki Doruk Erden, Panayiotis Danassis

Can artificial agents benefit from human conventions? Human societies manage to successfully self-organize and resolve the tragedy of the commons in common-pool resources, in spite of the bleak prediction of non-cooperative game theory. On top of that, rea ...

SPRINGER2022

Improved Cooperation by Exploiting a Common Signal

Boi Faltings, Zeki Doruk Erden, Panayiotis Danassis

International Foundation for Autonomous Agents and Multiagent Systems2022

A high-cooperativity, nano-optomechanical system comprised of high stress Si3N4

Tobias Kippenberg, Amirali Arabmoheghi, Nils Johan Engelsen

We report the design fabrication and characterization of a monolithic nano-optomechanical transducer comprised of high stress silicon nitride (Si3N4). Our system features a one dimensional Fabry-Perot photonic crystal cavity (Q approximate to 10(5)) integr ...

IEEE2021

Learning Generalized Nash Equilibria in a Class of Convex Games

Maryam Kamgarpour

We consider multiagent decision making where each agent optimizes its convex cost function subject to individual and coupling constraints. The constraint sets are compact convex subsets of a Euclidean space. To learn Nash equilibria, we propose a novel dis ...

2019

Fait d'hybridation – Cohabitations dans une coopérative viticole à Sion (VS)

Ang Li

L’énoncé théorique, développé lors du premier semestre, a étudié la question de l’hybridation dans le cadre du logement individuel et collectif, notamment quand l’espace du logement intègre d’autres fonctions. Contre un fonctionnalisme rigide et fracturant ...

2019

Crowd Dynamics in Internal Crowdsourcing: Insights From Challenges in Management Higher Education

Christopher Tucci, Gianluigi Viscusi

This article aims to study crowd dynamics in small teams. In particular we are specifically interested to internal crowdsourcing as a venue for innovation and new ideas production, questioning the difference with regard to other cooperative models based, e ...

2019

Courtesy As a Means to Coordinate

Boi Faltings, Panayiotis Danassis

We investigate the problem of multi-agent coordination under rationality constraints. Specifically, role allocation, task assignment, resource allocation, etc. Inspired by human behavior, we propose a framework (CA^3NONY) that enables fast convergence to e ...

International Foundation for Autonomous Agents and Multiagent Systems2019