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20182024
most citedUtility Design for Distributed Resource Allocation -- Part I: Characterizing and Optimizing the Exact Price of Anarchy

30 citations · 51 across the 16 of their papers we have counts for

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Showing 2021Show all

7 papers · 1 filter

cs.GT2021★ 1 cited

Strategically revealing intentions in General Lotto games

Keith Paarporn, Rahul Chandan, Dan Kovenock +2

Strategic decision-making in uncertain and adversarial environments is crucial for the security of modern systems and infrastructures. A salient feature of many optimal decision-ma…

cs.GT2021

The Unintended Consequences of Minimizing the Price of Anarchy in Congestion Games

Rahul Chandan, Dario Paccagnan, Jason R. Marden

This work focuses on the design of taxes in atomic congestion games, a commonly studied model for competitive resource sharing. While most related studies focus on optimizing eithe…

cs.MA2021

Mission Level Uncertainty in Multi-Agent Resource Allocation

Rohit Konda, Rahul Chandan, Jason R. Marden

In recent years, a significant research effort has been devoted to the design of distributed protocols for the control of multi-agent systems, as the scale and limited communicatio…

cs.GT2021★ 1 cited

A General Lotto game with asymmetric budget uncertainty

Keith Paarporn, Rahul Chandan, Mahnoosh Alizadeh +1

The General Lotto game is a popular variant of the famous Colonel Blotto game, in which two opposing players allocate limited resources over many battlefields. In this paper, we co…

eess.SY2021

Balancing Asymptotic and Transient Efficiency Guarantees in Set Covering Games

Rohit Konda, Rahul Chandan, David Grimsman +1

Game theoretic approaches have gained traction as robust methodologies for designing distributed local algorithms that induce a desired overall system configuration in multi-agent…

eess.SY2021

The Division of Assets in Multiagent Systems: A Case Study in Team Blotto Games

Keith Paarporn, Rahul Chandan, Mahnoosh Alizadeh +1

Multi-agent systems are designed to concurrently accomplish a diverse set of tasks at unprecedented scale. Here, the central problems faced by a system operator are to decide (i) h…

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…