Steven Zhang
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Austin Nguyen defends dissertation proposal

On March 30, 2026, Austin Nguyen presented and successfully defended his dissertation proposal titled "Offline Learning Paradigms in Game-Theoretic Multiagent Reinforcement Learning." The dissertation committee comprises: Michael Wellman…
Steven Zhang
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Madelyn Gatchel defends dissertation proposal

On April 14, 2025, Madelyn Gatchel presented and successfully defended her dissertation proposal titled "Learning and Reasoning About Parameterized Families of Games." The dissertation committee comprises: Michael Wellman [chair] Elizabeth…
Steven Zhang

Learning Bayesian Game Families, with Application to Mechanism Design

M Gatchel and MP Wellman 25th International Conference on Autonomous Agents and Multiagent Systems (AAMAS), May 2026. To appear. Abstract Learning or estimating game models from data typically entails inducing separate models for each setting,…
Steven Zhang

Conservative Equilibrium Discovery in Offline Game-Theoretic Multiagent Reinforcement Learning

A Nguyen, and MP Wellman 25th International Conference on Autonomous Agents and Multiagent Systems (AAMAS), May 2026. To appear. Abstract Offline learning of strategies takes data efficiency to its extreme by restricting algorithms to a…
Steven Zhang
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Madelyn Gatchel finishes as runner-up at CSE Graduate Honors Competition

Madelyn Gatchel finished as runner-up at the 22nd Annual CSE Graduate Honors Competition held on Nov 10, 2025, where she delivered a 15 min presentation on her research topic "Learning and Reasoning about Parameterized Families of Games."…
Steven Zhang

Market Selection with Midpoint Matching: A Strategic Agent-Based Analysis

G Smithline, A Gu, and MP Wellman 6th ACM International Conference on AI in Finance (ICAIF), November 2025. To appear. Abstract We study midpoint matching through Nasdaq’s Midpoint Extended-Life Order (M-ELO) mechanism, which offers non-displayed…
Steven Zhang
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Gabe Smithline Passes Prelim

PhD student Gabe Smithline passed the CSE prelim exam, based on his directed study project titled “Measuring Competition and Cooperation in LLM Bargaining: An Empirical Meta-Game Analysis.” Congratulations, Gabe!
Steven Zhang

Explicit Exploration for High-Welfare Equilibria in Game-Theoretic Multiagent Reinforcement Learning

A Nguyen, A Gu, and MP Wellman 42nd International Conference on Machine Learning (ICML), July 2025. Abstract Iterative extension of empirical game models through deep reinforcement learning (RL) has proved an effective approach for finding…
Steven Zhang
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Steven Zhang