4 papers
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…
Computing Perfect Bayesian Equilibria, with Application to Empirical Game-Theoretic Analysis
Christine Konicki, Mithun Chakraborty, Michael P. Wellman
Perfect Bayesian Equilibrium (PBE) is a refinement of the Nash equilibrium for imperfect-information extensive-form games (EFGs) that enforces consistency between the two component…
Empirical Game-Theoretic Analysis: A Survey
Michael P. Wellman, Karl Tuyls, Amy Greenwald
In the empirical approach to game-theoretic analysis (EGTA), the model of the game comes not from declarative representation, but is derived by interrogation of a procedural descri…
Policy Abstraction and Nash Refinement in Tree-Exploiting PSRO
Christine Konicki, Mithun Chakraborty, Michael P. Wellman
Policy Space Response Oracles (PSRO) interleaves empirical game-theoretic analysis with deep reinforcement learning (DRL) to solve games too complex for traditional analytic method…