Peter Stone's Selected Publications

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Convergence, Targeted Optimality and Safety in Multiagent Learning

Doran Chakraborty and Peter Stone. Convergence, Targeted Optimality and Safety in Multiagent Learning. In Proceedings of the Twenty-seventh International Conference on Machine Learning (ICML), June 2010.

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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.

BibTeX Entry

@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.
	},
}

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