4 papers · 1 filter
Learning to Strategically Acquire Resources in Competition
Safwan Hossain, Mirah Shi, Andrew Bennett +4
We consider multiple agents competing to acquire some costly divisible resource (e.g. shares of a financial asset, compute resources, etc.) over time. Leveraging a standard model f…
Personalization Aids Pluralistic Alignment Under Competition
Natalie Collina, Surbhi Goel, Aaron Roth +1
Can competition among misaligned AI providers yield aligned outcomes for a diverse population of users, and what role does model personalization play? We study a setting where mult…
Algorithmic Aspects of Strategic Trading
Michael Kearns, Mirah Shi
Algorithmic trading in modern financial markets is widely acknowledged to exhibit strategic, game-theoretic behaviors whose complexity can be difficult to model. A recent series of…
Forecasting for Swap Regret for All Downstream Agents
Aaron Roth, Mirah Shi
We study the problem of making predictions so that downstream agents who best respond to them will be guaranteed diminishing swap regret, no matter what their utility functions are…