Author

Philip N. Brown

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Preprint Sep 2026

Truncated Noisy Best-Response Algorithms: Toward Game Theoretic Learning with Safety Guarantees

We consider a game theoretic approach to solve multi-agent coordination problems with submodular maximization objectives. It is known for such problems that the Nash equilibria for the corresponding game are always within 50% of the optimal, but that the equilibria which achieve this worst-case bound are not stable. To...

Vartika Singh, Philip N. Brown · 0 citations

Preprint Sep 2026

Deriving the Pure Price of Anarchy for Networked Resource Allocation Games

This work considers multi-agent coordination with arbitrary information networks among the agents using a game-theoretic approach. A system designer aims to assign local utility functions to the agents to guide their actions toward a desired system objective. The performance of the assigned local utilities is measured...

Vartika Singh, Philip N. Brown · 0 citations