1 citations · 1 across the 4 of their papers we have counts for
4 papers
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…
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…
Evaluating Strategy Exploration in Empirical Game-Theoretic Analysis
Yongzhao Wang, Qiurui Ma, Michael P. Wellman
In empirical game-theoretic analysis (EGTA), game models are extended iteratively through a process of generating new strategies based on learning from experience with prior strate…
Learning to Play against Any Mixture of Opponents
Max Olan Smith, Thomas Anthony, Yongzhao Wang +1
Intuitively, experience playing against one mixture of opponents in a given domain should be relevant for a different mixture in the same domain. We propose a transfer learning met…