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cs.GT2025
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…
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…