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Mechanism Design With Predictions for Obnoxious Facility Location

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arxiv 2212.09521 v1 pith:ZVBTX2MY submitted 2022-12-19 cs.GT cs.AIcs.MA

classification cs.GTcs.AIcs.MA
keywords casedesignfacilitylocationmechanismmechanismsobnoxiouspredictions
verification ladder T0 review T1 audit T2 compute T3 formal
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We study mechanism design with predictions for the obnoxious facility location problem. We present deterministic strategyproof mechanisms that display tradeoffs between robustness and consistency on segments, squares, circles and trees. All these mechanisms are actually group strategyproof, with the exception of the case of squares, where manipulations from coalitions of two agents exist. We prove that these tradeoffs are optimal in the 1-dimensional case.

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Cited by 3 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Constant-Approximate and Constant-Strategyproof Two-Facility Location

    cs.GT 2025-07 conditional novelty 8.0 of 10

    Two deterministic mechanisms for two-facility location, with facilities allowed in the plane, achieve constant approximation, constant strategyproofness, and, for the second mechanism, constant Lipschitz continuity.

  2. Mechanism Design for Facility Location using Predictions

    cs.GT 2025-08 conditional novelty 6.0 of 10

    New facility-location mechanisms with predictions achieve bounded consistency and robustness by censoring extreme predictions and optimizing minimum utility.

  3. On multiagent online problems with predictions

    cs.MA 2025-07 conditional novelty 6.0 of 10

    A two-predictor model for multiagent online games is applied to ski-rental, giving tight competitive ratios and an algorithm that trades consistency for robustness.

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