30 citations · 51 across the 16 of their papers we have counts for
6 papers · 1 filter
Best Response Sequences and Tradeoffs in Submodular Resource Allocation Games
Rohit Konda, Rahul Chandan, David Grimsman +1
Deriving competitive, distributed solutions to multi-agent problems is crucial for many developing application domains; Game theory has emerged as a useful framework to design such…
Optimal Utility Design of Greedy Algorithms in Resource Allocation Games
Rohit Konda, Rahul Chandan, David Grimsman +1
Designing distributed algorithms for multi-agent problems is vital for many emerging application domains, and game-theoretic approaches are emerging as a useful paradigm to design…
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…
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…
When Smoothness is Not Enough: Toward Exact Quantification and Optimization of the Price-of-Anarchy
Rahul Chandan, Dario Paccagnan, Jason R. Marden
Today's multiagent systems have grown too complex to rely on centralized controllers, prompting increasing interest in the design of distributed algorithms. In this respect, game t…
Optimal Price of Anarchy in Cost-Sharing Games
Rahul Chandan, Dario Paccagnan, Jason R. Marden
The design of distributed algorithms is central to the study of multiagent systems control. In this paper, we consider a class of combinatorial cost-minimization problems and propo…