@conference {1509753,
	title = {Networked Distributed POMDPs: A Synergy of Distributed Constraint Optimization and POMDPs },
	booktitle = {International Joint Conference on Artificial Intelligence (IJCAI)},
	year = {2005},
	abstract = {In many real-world multiagent applications
such as distributed sensor nets, a network of
agents is formed based on each agent{\textquoteright}s limited
interactions with a small number of neighbors.
While distributed POMDPs capture the realworld uncertainty in multiagent domains, they
fail to exploit such locality of interaction. Distributed constraint optimization (DCOP) captures the locality of interaction but fails to capture planning under uncertainty. This paper
present a new model synthesized from distributed POMDPs and DCOPs, called Networked
Distributed POMDPs (ND-POMDPs). Exploiting network structure enables us to present
a distributed policy generation algorithm that
performs local search.},
	author = {Nair, R. and P. Varakantam and M. Tambe and M. Yokoo}
}
