2 papers
cs.GT2025
Learning Bayesian Game Families, with Application to Mechanism Design
Madelyn Gatchel, Michael P. Wellman
Learning or estimating game models from data typically entails inducing separate models for each setting, even if the games are parametrically related. In empirical mechanism desig…
cs.GT2023
Learning Parameterized Families of Games
Madelyn Gatchel, Bryce Wiedenbeck
Nearly all simulation-based games have environment parameters that affect incentives in the interaction but are not explicitly incorporated into the game model. To understand the i…