15 citations · 22 across the 5 of their papers we have counts for
3 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…
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…
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…