activity
20182021
collaborators

7 papers

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…

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…

cs.GT2020

When showing your hand pays off: Announcing strategic intentions in Colonel Blotto games

Rahul Chandan, Keith Paarporn, Jason R. Marden

In competitive adversarial environments, it is often advantageous to obfuscate one's strategies or capabilities. However, revealing one's strategic intentions may shift the dynamic…

cs.GT2019

Optimal Taxes in Atomic Congestion Games

Dario Paccagnan, Rahul Chandan, Bryce L Ferguson +1

How can we design mechanisms to promote efficient use of shared resources? Here, we answer this question in relation to the well-studied class of atomic congestion games, used to m…