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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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Katherine Mayo defends dissertation proposal

On July 17, 2022, Katherine Mayo presented and successfully defended her dissertation proposal titled "A Strategic Analysis of Economic and Technological Changes in Financial Networks Using Agent-Based Modeling." The dissertation committee…
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Madelyn Gatchel Passes Prelim

Madelyn Gatchel passed the CSE prelim exam, based on her directed study project titled “Learning Parameterized Families of Games”. Congratulations, Madelyn!

Learning Parameterized Families of Games

M Gatchel and B Wiedenbeck 22nd International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS), pp. 1044–1052, June 2023. Abstract To understand the impact of parameters in strategic environments, typical game-theoretic analysis…

Empirical Game-Theoretic Analysis for Mean Field Games

Y Wang and MP Wellman 22nd International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS), pp. 1025–1033, June 2023. Abstract We present a simulation-based approach for solution of mean field games (MFGs), using the framework…