Co-Learning Empirical Games and World Models

MO Smith and MP Wellman 1st Reinforcement Learning Conference (RLC), August 2024. Forthcoming. Abstract Game-based decision-making involves reasoning over both world dynamics and strategic interactions among the agents. Typically, empirical…

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…
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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…