
A Strategic Analysis of Portfolio Compression
K Mayo and MP Wellman
2nd ACM International Conference on AI in Finance (ICAIF), Article No.: 20, pages 1–8, November 2021.
Extended abstract appeared in 20th International Conference on Autonomous Agents and Multiagent Systems (AAMAS),…

Evolution Strategies for Approximate Solution of Bayesian Games
Z Li and MP Wellman
35th AAAI Conference on Artificial Intelligence, pages 5531-5540, Feb 2021.
Abstract
We address the problem of solving complex Bayesian games, characterized by high-dimensional type and action spaces, many (> 2) players,…

Iterative Empirical Game Solving via Single Policy Best Response
M Smith, T Anthony, and MP Wellman
9th International Conference on Learning Representations (ICLR), Spotlight Presentation, May 2021.
Abstract
Policy-Space Response Oracles (PSRO) is a general algorithmic framework for learning policies in…







Structure learning for approximate solution of many-player games
Z Li and MP Wellman
34th AAAI Conference on Artificial Intelligence, pages 2119-2127, Feb 2020.
Abstract
Games with many players are difficult to solve or even specify without adopting structural assumptions that enable representation in…