NIPS Proceedingsβ

Complexity of Decentralized Control: Special Cases

Part of: Advances in Neural Information Processing Systems 22 (NIPS 2009)

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The worst-case complexity of general decentralized POMDPs, which are equivalent to partially observable stochastic games (POSGs) is very high, both for the cooperative and competitive cases. Some reductions in complexity have been achieved by exploiting independence relations in some models. We show that these results are somewhat limited: when these independence assumptions are relaxed in very small ways, complexity returns to that of the general case.