@conference {1510009,
	title = {Towards a formalization of teamwork with resource constraints },
	booktitle = {International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS-04)},
	year = {2004},
	abstract = {Despite the recent advances in distributed MDP frameworks for reasoning about multiagent teams, these frameworks mostly do not reason about resource constraints, a
crucial issue in teams. To address this shortcoming, we provide four key contributions. First, we introduce EMTDP, a
distributed MDP framework where agents must not only
maximize expected team reward, but must simultaneously
bound expected resource consumption. While there exist
single-agent constrained MDP (CMDP) frameworks that
reason about resource constraints, EMTDP is not just a
CMDP with multiple agents. Instead, EMTDP must resolve
the miscoordination that arises due to policy randomization. Thus, our second contribution is an algorithm for
EMTDP transformation, so that resulting policies, even if
randomized, avoid such miscoordination. Third, we prove
equivalence of different techniques of EMTDP transformation. Finally, we present solution algorithms for these EMTDPs and show through experiments their efficiency in solving application-sized problems.},
	author = {Praveen Paruchuri and Tambe, Milind and Ordonez, Fernando and Kraus, Sarit}
}
