A Meta-Game Evaluation Framework for Deep Multiagent Reinforcement Learning

Z Li and MP Wellman 33rd International Joint Conference on Artificial Intelligence (IJCAI), August 2024. Forthcoming. Best Paper Award at 16th Adaptive and Learning Agents (ALA) Workshop at AAMAS, May 2024. Abstract Evaluating deep multiagent…

Co-Learning Empirical Games and World Models

MO Smith and MP Wellman 1st Reinforcement Learning Conference (RLC), August 2024. Forthcoming. Abstract Game-based decision-making involves reasoning over both world dynamics and strategic interactions among the agents. Typically, empirical…

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), August 2024. Forthcoming. Abstract Whereas standard financial mechanisms for payment may take days to finalize, real-time payments (RTPs)…

Empirical Game-Theoretic Analysis: A Survey

MP Wellman, K Tuyls, A Greenwald   Abstract In the empirical approach to game-theoretic analysis (EGTA), the model of the game comes not from declarative representation, but is derived by interrogation of a procedural description of…

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), May 2024. Forthcoming. Abstract In the policy-space response oracle (PSRO) framework, strategy sets defining an empirical game are iteratively…

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…