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GAVEL: Generating Games Via Evolution and Language Models Graham T odd New York University Tandon Brooklyn, New York, USA gdrtodd Alexander G. Padula ETH Zurich Zurich, Switzerland apadula
Automatically generating novel and interesting games is a complex task.
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Prior-Free Dynamic Auctions with Low Regret Buyers
Yuan Deng, Jon Schneider, Balasubramanian Sivan
We study the problem of how to repeatedly sell to a buyer running a no-regret,mean-based algorithm. Previous work [Braverman et al., 2018] shows that it ispossible to design effective mechanisms in such a setting that extract almost allof the economic surplus, but these mechanisms require the buyer's values each
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Distinguishing Distributions When Samples Are Strategically Transformed
Hanrui Zhang, Yu Cheng, Vincent Conitzer
Neural Information Processing Systems http://nips.cc/
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5ea1649a31336092c05438df996a3e59-Paper.pdf
Modeling a system'stemporal behaviour in reaction to external stimuli is a fundamentalprobleminmanyareas.
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Bayesian Persuasionfor Algorithmic Recourse
London MathSociety Lecture Note Series.
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