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SRG paper wins Best Paper Award at ALA 2024 workshop

The paper titled "A Meta-Game Evaluation Framework for Deep Multiagent Reinforcement Learning," authored by Zun Li, while he was a PhD student with SRG, and Michael Wellman just won the best paper award at the 16th Adaptive and Learning Agents…

A Meta-Game Evaluation Framework for Deep Multiagent Reinforcement Learning

Z Li and MP Wellman 33rd International Joint Conference on Artificial Intelligence (IJCAI), August 2024. Forthcoming. Best Paper Award at 16th Adaptive and Learning Agents (ALA) Workshop at AAMAS, May 2024. Abstract Evaluating deep multiagent…

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…

Empirical Game-Theoretic Analysis: A Survey

MP Wellman, K Tuyls, A Greenwald Accepted to Journal of Artificial Intelligence Research (JAIR), June 2024. To appear. Abstract In the empirical approach to game-theoretic analysis (EGTA), the model of the game comes not from declarative…
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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…