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Pradeep Varakantham, Jun-young Kwak, Matthew E. Taylor, Janusz Marecki,
Paul Scerri, and Milind Tambe. Exploiting Coordination Locales in Distributed
POMDPs via Social Model Shaping. In Proceedings of the Nineteenth International Conference on Automated Planning
and Scheduling (ICAPS), September 2009. 34% acceptance rate
ICAPS-2009
Distributed POMDPs provide an expressive framework for modeling multiagent collaboration problems, but NEXP-Complete complexity hinders their scalability and application in real-world domains. This paper introduces a subclass of distributed POMDPs, and TREMOR, an algorithm to solve such distributed POMDPs. The primary novelty of TREMOR is that agents plan individually with a single agent POMDP solver and use social model shaping to implicitly coordinate with other agents. Experiments demonstrate that TREMOR can provide solutions orders of magnitude faster than existing algorithms while achieving comparable, or even superior, solution quality.
@inproceedings(ICAPS09-Varakantham,
author="Pradeep Varakantham and Jun-young Kwak and Matthew E.\ Taylor and
Janusz Marecki and Paul Scerri and Milind Tambe",
title="Exploiting Coordination Locales in Distributed {POMDP}s via Social
Model Shaping",
Booktitle="Proceedings of the Nineteenth International Conference on
Automated Planning and Scheduling ({ICAPS})",
month="September",
year= "2009",
note = {34% acceptance rate},
wwwnote={<a href="http://icaps09.uom.gr">ICAPS-2009</a>},
abstract={ Distributed POMDPs provide an expressive framework for
modeling multiagent collaboration problems, but NEXP-Complete
complexity hinders their scalability and application in real-world
domains. This paper introduces a subclass of distributed POMDPs,
and TREMOR, an algorithm to solve such distributed POMDPs. The
primary novelty of TREMOR is that agents plan individually with a
single agent POMDP solver and use social model shaping to
implicitly coordinate with other agents. Experiments demonstrate
that TREMOR can provide solutions orders of magnitude faster than
existing algorithms while achieving comparable, or even superior,
solution quality.},
)
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