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…

Timing is Money: The Impact of Arrival Order in Beta-Bernoulli Prediction Markets

B Martin, S Kutty, and M Chakraborty 2nd ACM International Conference on AI in Finance (ICAIF), Article No.: 41, pages 1–9, November 2021. Abstract Prediction markets are incentive-based mechanisms for eliciting and combining the diffused,…

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…
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interview with Grainstone Lee

I spoke with Simon Grainger recently for his firm's "Views from Academia" series. The interview is based on presentations I've made recently on "Game Playing meets Game Theory", discussing the connection between game-theoretic reasoning and…
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My interview with Bill Powers on AI Decision Makers

https://youtu.be/SnTf-iWUTpk Recorded June 2018, as part of a series on Machine Behavior, in conjunction with publication of a position paper in Nature on the topic.

Multiscale Network Games of Collusion and Competition

Principal Investigators Michael Wellman (U Michigan) Mingyan Liu (U Michigan) PIs at partner universities: Milind Tambe (University of Southern California) David Kempe (University of Southern California) P. Jeffrey Brantingham…