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…

Solving Structured Hierarchical Games Using Differential Backward Induction

Z Li, F Jia, A Mate, S Jabbari, M Chakraborty, M Tambe, and Y Vorobeychik 38th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 180: pp. 1107–1117, August 2022 Previous version presented at ICLR Workshop on Gamification…

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…

Incentivizing Collaboration in a Competition

A Sinha and MP Wellman Proceedings of the 18th International Conference on Autonomous Agents and Multiagent Systems (AAMAS), pages 556–564, May 2019. Abstract Research and design competitions aim to promote innovation or creative production,…