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Multiagent Planning under Uncertainty with Stochastic Communication Delays

Matthijs T. J. Spaan, Frans A. Oliehoek, and Nikos Vlassis. Multiagent Planning under Uncertainty with Stochastic Communication Delays. In Proc. of Int. Conf. on Automated Planning and Scheduling, pp. 338–345, 2008.

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Abstract

We consider the problem of cooperative multiagent planning under uncertainty, formalized as a decentralized partially observable Markov decision process (Dec-POMDP). Unfortunately, in these models optimal planning is provably intractable. By communicating their local observations before they take actions, agents synchronize their knowledge of the environment, and the planning problem reduces to a centralized POMDP. As such, relying on communication significantly reduces the complexity of planning. In the real world however, such communication might fail temporarily. We present a step towards more realistic communication models for Dec-POMDPs by proposing a model that: (1) allows that communication might be delayed by one or more time steps, and (2) explicitly considers future probabilities of successful communication. For our model, we discuss how to efficiently compute an (approximate) value function and corresponding policies, and we demonstrate our theoretical results with encouraging experiments.

BibTeX Entry

@InProceedings{Spaan08icaps,
  author =       {Matthijs T. J. Spaan and Frans A. Oliehoek and Nikos
                  Vlassis},
  title =        {Multiagent Planning under Uncertainty with
                  Stochastic Communication Delays},
  booktitle =    {Proc. of Int. Conf. on Automated Planning and
                  Scheduling},
  year =         2008,
  pages =        {338--345}
}

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