Limburg
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.
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
Distinguishing Distributions When Samples Are Strategically Transformed
Hanrui Zhang, Yu Cheng, Vincent Conitzer
Neural Information Processing Systems http://nips.cc/
5ea1649a31336092c05438df996a3e59-Paper.pdf
Modeling a system'stemporal behaviour in reaction to external stimuli is a fundamentalprobleminmanyareas.
Bayesian Persuasionfor Algorithmic Recourse
London MathSociety Lecture Note Series.
