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Austin Nguyen

Exploiting Extensive-Form Structure in Empirical Game-Theoretic Analysis

C Konicki, M Chakraborty, MP Wellman 18th Conference on Web and Internet Economics (WINE), 2022 (Forthcoming) Abstract Empirical game-theoretic analysis (EGTA) is a general framework for reasoning about complex games using agent-based simulation.…

Solving Structured Hierarchical Games Using Differential Backward Induction

Z Li, F Jia, A Mate, S Jabbari, M Chakraborty, M Tambe, and Y Vorobeychik 38th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 180: pp. 1107–1117, August 2022 Previous version presented at ICLR Workshop on Gamification…
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Yongzhao Wang defends dissertation proposal

On 10 May 2022, Yongzhao Wang presented and successfully defended his dissertation proposal titled "Multi-agent Learning by Iterative Refinement of Game Models." The dissertation committee comprises: Michael Wellman [chair] Tilman…
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Zun Li defends dissertation proposal

On 27 April 2022, Zun Li presented and successfully defended his dissertation proposal titled "A Modern AI Approach to Strategic Reasoning over Complex Multiagent Systems". The dissertation committee comprises: Michael Wellman [chair] …

Evaluating Strategy Exploration in Empirical Game-Theoretic Analysis

Y Wang, Q Ma and MP Wellman 21st International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS), pages 1346—1354, May 2022. Abstract In empirical game-theoretic analysis (EGTA), game models are extended iteratively through…
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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…

An Agent-Based Model of Strategic Adoption of Real-Time Payments

K Mayo, S Fozdar, and MP Wellman 2nd ACM International Conference on AI in Finance (ICAIF), Article No.: 45, pages 1–9, November 2021. Abstract Real-time payments (RTPs) allow consumers to receive funds before the completion of payment…

Building Action Sets in a Deep Reinforcement Learner

Y Wang, A Sinha, S CH-Wang, and MP Wellman 20th IEEE International Conference on Machine Learning and Applications (ICMLA-21), pages 484–489, December 2021. Abstract In many policy-learning applications, the agent may execute a set of actions…