193 citations · 950 across the 37 of their papers we have counts for
5 papers · 1 filter
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…
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…
Iterative Empirical Game Solving via Single Policy Best Response
Max Olan Smith, Thomas Anthony, Michael P. Wellman
Policy-Space Response Oracles (PSRO) is a general algorithmic framework for learning policies in multiagent systems by interleaving empirical game analysis with deep reinforcement…
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…