activity
20182024
most citedAssign and Appraise: Achieving Optimal Performance in Collaborative Teams

1 citations · 3 across the 5 of their papers we have counts for

collaborators

10 papers

cs.GT2024

Bridging the Gap Between Central and Local Decision-Making: The Efficacy of Collaborative Equilibria in Altruistic Congestion Games

Bryce L Ferguson, Dario Paccagnan, Bary S R Pradelski +1

Congestion games are popular models often used to study the system-level inefficiencies caused by selfish agents, typically measured by the price of anarchy. One may expect that al…

math.OC2021

Online Traffic Routing: Deterministic Limits and Data-driven Enhancements

Devansh Jalota, Dario Paccagnan, Maximilian Schiffer +1

Over the past decade, GPS enabled traffic applications, such as Google Maps and Waze, have become ubiquitous and have had a significant influence on billions of daily commuters' tr…

cs.GT2021

Tractable mechanisms for computing near-optimal utility functions

Rahul Chandan, Dario Paccagnan, Jason R. Marden

Large scale multiagent systems must rely on distributed decision making, as centralized coordination is either impractical or impossible. Recent works approach this problem under a…

math.OC20201 cited

Stochastic Strategies for Robotic Surveillance as Stackelberg Games

Xiaoming Duan, Dario Paccagnan, Francesco Bullo

This paper studies a stochastic robotic surveillance problem where a mobile robot moves randomly on a graph to capture a potential intruder that strategically attacks a location on…

eess.SY20201 cited

Urgency-aware Optimal Routing in Repeated Games through Artificial Currencies

Mauro Salazar, Dario Paccagnan, Andrea Agazzi +2

When people choose routes minimizing their individual delay, the aggregate congestion can be much higher compared to that experienced by a centrally-imposed routing. Yet centralize…

cs.SI20201 cited

Assign and Appraise: Achieving Optimal Performance in Collaborative Teams

Elizabeth Y. Huang, Dario Paccagnan, Wenjun Mei +1

Tackling complex team problems requires understanding each team member's skills in order to devise a task assignment maximizing the team performance. This paper proposes a novel qu…