Stronger CDA strategies through empirical game-theoretic analysis and reinforcement learning

L. Julian Schvartzman, Michael P. Wellman. Stronger CDA strategies through empirical game-theoretic analysis and reinforcement learning. In Carles Sierra, Cristiano Castelfranchi, Keith S. Decker, Jaime Simão Sichman, editors, 8th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2009), Budapest, Hungary, May 10-15, 2009, Volume 1. pages 249-256, IFAAMAS, 2009. [doi]

@inproceedings{SchvartzmanW09,
  title = {Stronger CDA strategies through empirical game-theoretic analysis and reinforcement learning},
  author = {L. Julian Schvartzman and Michael P. Wellman},
  year = {2009},
  doi = {10.1145/1558013.1558047},
  url = {http://doi.acm.org/10.1145/1558013.1558047},
  tags = {empirical, analysis},
  researchr = {https://researchr.org/publication/SchvartzmanW09},
  cites = {0},
  citedby = {0},
  pages = {249-256},
  booktitle = {8th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2009), Budapest, Hungary, May 10-15, 2009, Volume 1},
  editor = {Carles Sierra and Cristiano Castelfranchi and Keith S. Decker and Jaime Simão Sichman},
  publisher = {IFAAMAS},
  isbn = {978-0-9817381-6-1},
}