193 citations · 950 across the 37 of their papers we have counts for
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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…