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…

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…

A game-theoretic approach for hierarchical epidemic control

F Jia, A Mate, Z Li, S Jabbari, M Chakraborty, M Tambe, MP Wellman, and Y Vorobeychik Autonomous Agents and Multi-Agent Systems, 39, 14:1–37 (2025). Abstract We design and analyze a multi-level game-theoretic model of hierarchical policy…

Understanding the Implications of Advanced AI on Financial Markets

MP Wellman Journal of Financial Transformation, 60:14–19, 2025. Abstract The rapid advancement of surprisingly capable AI is raising questions about AI’s impact on virtually all aspects of our economy and society. The nexus of AI and…

Empirical Game Theoretic Analysis: A Survey

MP Wellman, K Tuyls, and A Greenwald Journal of Artificial Intelligence Research, 82:1017–1076, 2025. Abstract In the empirical approach to game-theoretic analysis (EGTA), the model of the game comes not from declarative representation,…

Policy Abstraction and Nash Refinement in Tree-Exploiting PSRO

C Konicki, M Chakraborty, and MP Wellman 24th International Conference on Autonomous Agents and Multiagent Systems (AAMAS), pp. 1163–1171, May 2025. Abstract Policy Space Response Oracles (PSRO) interleaves empirical game-theoretic analysis…