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…
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…
Christine Konicki defends dissertation
On 21 October 2024, Christine Konicki successfully defended her PhD dissertation titled, "Exploiting Tree Structure in Empirical Game-Theoretic Analysis for Extensive-Form Games."
Thanks to the dissertation committee members:
Michael…
Navigating in a Space of Game Views
MP Wellman, K Mayo
Autonomous Agents and Multi-Agent Systems (JAAMAS), 38(31):1–25, 2024.
Abstract
Game-theoretic modeling entails selecting the particular elements of a complex strategic situation deemed most salient for strategic analysis.…
Katherine Mayo defends dissertation
On 15 May 2024, Katherine Mayo successfully defended her PhD dissertation titled, "A Strategic Agent-Based Analysis of Economic and Technological Changes in Financial Networks."
Thanks to the dissertation committee members:
Michael…
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), pages 148-156, August 2024.
earlier version won Best Paper Award at 16th Adaptive and Learning Agents (ALA) Workshop at AAMAS, May 2024.
Abstract
Evaluating…
Co-Learning Empirical Games and World Models
MO Smith and MP Wellman
1st Reinforcement Learning Conference (RLC), August 2024.
Reinforcement Learning Journal, vol. 1, 2024, pp. 1-15.
Abstract
Game-based decision-making involves reasoning over both world dynamics and strategic interactions…
