193 citations · 904 across the 28 of their papers we have counts for
31 papers
Co-Learning Empirical Games and World Models
Max Olan Smith, Michael P. Wellman
Game-based decision-making involves reasoning over both world dynamics and strategic interactions among the agents. Typically, empirical models capturing these respective aspects a…
Regularization for Strategy Exploration in Empirical Game-Theoretic Analysis
Yongzhao Wang, Michael P. Wellman
In iterative approaches to empirical game-theoretic analysis (EGTA), the strategy space is expanded incrementally based on analysis of intermediate game models. A common approach t…
Exploiting Extensive-Form Structure in Empirical Game-Theoretic Analysis
Christine Konicki, Mithun Chakraborty, Michael P. Wellman
Empirical game-theoretic analysis (EGTA) is a general framework for reasoning about complex games using agent-based simulation. Data from simulating select strategy profiles is emp…
Combining Tree-Search, Generative Models, and Nash Bargaining Concepts in Game-Theoretic Reinforcement Learning
Zun Li, Marc Lanctot, Kevin R. McKee +7
Opponent modeling methods typically involve two crucial steps: building a belief distribution over opponents' strategies, and exploiting this opponent model by playing a best respo…
Empirical Game-Theoretic Analysis for Mean Field Games
Yongzhao Wang, Michael P. Wellman
We present a simulation-based approach for solution of mean field games (MFGs), using the framework of empirical game-theoretical analysis (EGTA). Our primary method employs a vers…
Designing a Combinatorial Financial Options Market
Xintong Wang, David M. Pennock, Nikhil R. Devanur +3
Financial options are contracts that specify the right to buy or sell an underlying asset at a strike price by an expiration date. Standard exchanges offer options of predetermined…