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…

Fraud Risk Mitigation in Real-Time Payments: A Strategic Agent-Based Analysis

K Mayo, N Grabill, and MP Wellman 33rd International Joint Conference on Artificial Intelligence (IJCAI), pages 157-165, August 2024. Abstract Whereas standard financial mechanisms for payment may take days to finalize, real-time payments…

Generalized Response Objectives for Strategy Exploration in Empirical Game-Theoretic Analysis

Y Wang and MP Wellman 23nd International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS), pp. 1892–1900, May 2024. Abstract In the policy-space response oracle (PSRO) framework, strategy sets defining an empirical game are…

Learning to Manipulate a Financial Benchmark

M Shearer, G Rauterberg, and MP Wellman Proceedings of 4th ACM International Conference on AI in Finance (ICAIF'23), pages 592–600, November 2023. Abstract Financial benchmarks estimate market values or reference rates used in a wide variety…

Strategic Knowledge Transfer

MO Smith, T Anthony, MP Wellman Journal of Machine Learning Research (JMLR), 24(233):1−96, August 2023. Abstract In the course of playing or solving a game, it is common to face a series of changing other-agent strategies. These strategies…

Learning to play against any mixture of opponents

MO Smith, T Anthony, MP Wellman Frontiers of Artificial Intelligence (Sec. Machine Learning and Artificial Intelligence), Volume 6, July 2023. Abstract Intuitively, experience playing against one mixture of opponents in a given domain should…

Learning Parameterized Families of Games

M Gatchel and B Wiedenbeck 22nd International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS), pp. 1044–1052, June 2023. Abstract To understand the impact of parameters in strategic environments, typical game-theoretic analysis…

Empirical Game-Theoretic Analysis for Mean Field Games

Y Wang and MP Wellman 22nd International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS), pp. 1025–1033, June 2023. Abstract We present a simulation-based approach for solution of mean field games (MFGs), using the framework…
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Machine Learning, Algorithmic Trading, and Manipulation

Columbia Blue Sky Blog post based on the report by Megan Shearer, Gabriel Rauterberg, and Michael Wellman.