
Co-Learning Empirical Games and World Models
MO Smith and MP Wellman
1st Reinforcement Learning Conference (RLC), August 2024.
Reinforcement Learning Journal, vol. 1, 2024, pp. 1-15.
Abstract
Game-based decision-making involves reasoning over both world dynamics and strategic interactions…

Strategic Knowledge Transfer
MO Smith, T Anthony, MP Wellman
Journal of Machine Learning Research (JMLR), 24(233):1−96, August 2023.
Abstract
In the course of playing or solving a game, it is common to face a series of changing other-agent strategies. These strategies…

Learning to play against any mixture of opponents
MO Smith, T Anthony, MP Wellman
Frontiers of Artificial Intelligence (Sec. Machine Learning and Artificial Intelligence), Volume 6, July 2023.
Abstract
Intuitively, experience playing against one mixture of opponents in a given domain should…

Max finishes as finalist at CSE Graduate Honors Competition
Max Smith was one of the five finalists at the 18th Annual CSE Graduate Honors Competition held virtually on Nov 10, 2021, where he delivered a short presentation on his research titled "Strategic Knowledge Transfer." He was selected as the…

Iterative Empirical Game Solving via Single Policy Best Response
MO Smith, T Anthony, and MP Wellman
9th International Conference on Learning Representations (ICLR), Spotlight Presentation, May 2021.
Abstract
Policy-Space Response Oracles (PSRO) is a general algorithmic framework for learning policies…
