A Meta-Game Evaluation Framework for Deep Multiagent Reinforcement Learning

Z Li and MP Wellman 33rd International Joint Conference on Artificial Intelligence (IJCAI), pages 148-156, August 2024. earlier version won Best Paper Award at 16th Adaptive and Learning Agents (ALA) Workshop at AAMAS, May 2024. Abstract Evaluating…

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…
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Zun Li defends dissertation

  On 17 January 2024, Zun Li successfully defended his PhD dissertation titled, "Artificial Intelligence Algorithms for Large Economic and Computer Games." Thanks to the dissertation committee members: Michael Wellman (chair) …

Learning to Manipulate a Financial Benchmark

M Shearer, G Rauterberg, and MP Wellman Proceedings of 4th ACM International Conference on AI in Finance (ICAIF'23), pages 592–600, November 2023. Abstract Financial benchmarks estimate market values or reference rates used in a wide variety…

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…
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Yongzhao Wang defends dissertation

On August 14, 2023, Yongzhao Wang successfully defended his PhD dissertation titled, "Multiagent Learning by Iterative Refinement of Game Models." Thanks to the dissertation committee members: Michael Wellman (chair) Mingyan Liu …
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Max Smith defends dissertation

On July 26, 2023, Max Smith successfully defended his PhD dissertation titled, "Efficient Game Solving through Transfer Learning." Thanks to the dissertation committee members: Michael Wellman (chair) Satinder Singh Baveja Honglak…

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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Christine Konicki defends dissertation proposal

On October 17, 2022, Christine Konicki presented and successfully defended her dissertation proposal titled "A Tree-Exploiting Approach to Empirical Game-Theoretic Analysis for Extensive-Form Games." The dissertation committee comprises: …
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Machine Learning, Algorithmic Trading, and Manipulation

Columbia Blue Sky Blog post based on the report by Megan Shearer, Gabriel Rauterberg, and Michael Wellman.