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Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 3 (AAMAS'04)
New York City, New York, USA
July 19-July 23
ISBN: 0-7695-2092-8
Piotr J. Gmytrasiewicz, University of Illinois at Chicago
Prashant Doshi, University of Illinois at Chicago
This paper presents properties and results of a new framework for sequential decision-making in multiagent settings called interactive partially observable Markov decision processes (I-POMDPs). I-POMDPs are generalizations of POMDPs, a well-known framework for decision-theoretic planning in uncertain domains, to cases when an agent needs to plan a course of action in an environment populated by other agents.
Citation:
Piotr J. Gmytrasiewicz, Prashant Doshi, "Interactive POMDPs: Properties and Preliminary Results," aamas, vol. 3, pp.1374-1375, Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 3 (AAMAS'04), 2004
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