@COMMENT This file was generated by bib2html.pl <http://www.cs.cmu.edu/~pfr/misc_software/index.html#bib2html> version 0.90
@COMMENT written by Patrick Riley <http://www.cs.cmu.edu/~pfr>
@COMMENT This file came from Peter Stone's publication pages at
@COMMENT http://www.cs.utexas.edu/~pstone/papers
@InProceedings{ICML10-chakraborty,
	author    = "Doran Chakraborty and Peter Stone",
	title     = "Convergence, Targeted Optimality and Safety in Multiagent Learning",
	booktitle = "Proceedings of the Twenty-seventh International Conference on Machine Learning (ICML)",
	location  = "Haifa, Israel",
	month     = "June",
	year      = "2010",
	abstract  = {
		This paper introduces a novel multiagent learning algorithm which
		achieves convergence, targeted optimality against memory-bounded
		adversaries, and safety, in arbitrary repeated games.  Called CMLeS, its
		most novel aspect is the manner in which it guarantees (in a PAC sense)
		targeted optimality against memory-bounded adversaries, via efficient
		exploration and exploitation. CMLeS is fully implemented and we present
		empirical results demonstrating its effectiveness.
	},
}