Learning Bayesian Game Families, with Application to Mechanism Design
M Gatchel and MP Wellman
25th International Conference on Autonomous Agents and Multiagent Systems (AAMAS), May 2026. To appear.
Abstract
Learning or estimating game models from data typically entails inducing separate models for each setting,…
Conservative Equilibrium Discovery in Offline Game-Theoretic Multiagent Reinforcement Learning
A Nguyen, and MP Wellman
25th International Conference on Autonomous Agents and Multiagent Systems (AAMAS), May 2026. To appear.
Abstract
Offline learning of strategies takes data efficiency to its extreme by restricting algorithms to a…
