When users can benefit from certain predictive outcomes, they may be prone to act to
achieve those outcome, eg, by strategically modifying their features. The goal in strategic …

We study offline reinforcement learning under a novel model called strategic MDP, which
characterizes the strategic interactions between a principal and a sequence of myopic …

The success of machine learning across a wide array of tasks and applications has made it
appealing to use it also in the social domain. Indeed, learned models now form the …

This study examines antecedents that drive platform users to manipulate artificial
intelligence (AI) recommendation algorithms. Based on the persuasion knowledge model …

Congestion is a common failure mode of markets, where consumers compete inefficiently on
the same subset of goods (eg, chasing the same small set of properties on a vacation rental …

Abstract Machine learning algorithms now play a major role in all kinds of decision-making
scenarios, such as college admissions, credit approval, and resume screening. When the …