@conference {1506987,
	title = {Using DCOPs to Balance Exploration and Exploitation in Time-Critical Domains },
	booktitle = {IJCAI 2009 Workshop on Distributed Constraint Reasoning (DCR 2009)	},
	year = {2009},
	abstract = {Substantial work has investigated balancing exploration and exploitation, but relatively little has addressed this tradeoff in the context of coordinated
multi-agent interactions. This paper introduces a class of problems in which
agents must maximize their on-line reward, a decomposable function dependent
on pairs of agent{\textquoteright}s decisions. Unlike previous work, agents must both learn the
reward function and exploit it on-line, critical properties for a class of physicallymotivated systems, such as mobile wireless networks. This paper introduces algorithms motivated by the Distributed Constraint Optimization Problem framework
and demonstrates when, and at what cost, increasing agents{\textquoteright} coordination can improve the global reward on such problems.},
	author = {Matthew E. Taylor and Jain, Manish and Tandon, Prateek and Tambe, Milind}
}
