Robust Equilibria in Shared Resource Allocation via Strengthening Border's Theorem
David X. Lin, Siddhartha Banerjee, Giannis Fikioris, \'Eva Tardos

TL;DR
This paper introduces a novel mechanism for repeated shared resource allocation that guarantees both Bayesian equilibrium and robust individual utility, leveraging a strengthened Border's theorem and a joint Schur-convexity argument.
Contribution
It presents the first mechanism achieving both equilibrium and robust guarantees simultaneously, connecting online allocation with implementation theory through a strengthened Border's theorem.
Findings
Mechanism guarantees Bayesian equilibrium and robustness.
Strengthening Border's theorem is key to the result.
The approach may be applicable to other allocation problems.
Abstract
We consider repeated allocation of a shared resource via a non-monetary mechanism, wherein a single item must be allocated to one of multiple agents in each round. We assume that each agent has i.i.d. values for the item across rounds, and additive utilities. Past work on this problem has proposed mechanisms where agents can get one of two kinds of guarantees: (approximate) Bayes-Nash equilibria via linkage-based mechanisms which need extensive knowledge of the value distributions, and simple distribution-agnostic mechanisms with robust utility guarantees for each individual agent, which are worse than the Nash outcome, but hold irrespective of how others behave (including possibly collusive behavior). Recent work has hinted at barriers to achieving both simultaneously. Our work however establishes this is not the case, by proposing the first mechanism in which each agent…
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Taxonomy
TopicsAuction Theory and Applications · Game Theory and Applications · Game Theory and Voting Systems
