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cs.LG2026
An `Inverse' Experimental Framework to Estimate Market Efficiency
Thomas Asikis, Heinrich H. Nax
Digital marketplaces processing billions of dollars annually represent critical infrastructure in sociotechnical ecosystems, yet their performance optimization lacks principled mea…
cs.LG2024★ 1 cited
Learning to Steer Markovian Agents under Model Uncertainty
Jiawei Huang, Vinzenz Thoma, Zebang Shen +2
Designing incentives for an adapting population is a ubiquitous problem in a wide array of economic applications and beyond. In this work, we study how to design additional rewards…