Teamwork in distributed POMDPs: execution-time coordination under model uncertainty

Authors:
Jun-young Kwak;Rong Yang;Zhengyu Yin;Matthew E. Taylor;Milind Tambe
Affiliations:
University of Southern California, Los Angeles, CA;University of Southern California, Los Angeles, CA;University of Southern California, Los Angeles, CA;Lafayette College, Easton, PA;University of Southern California, Los Angeles, CA
Venue:
The 10th International Conference on Autonomous Agents and Multiagent Systems - Volume 3
Year:
2011

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Abstract

Despite their NEXP-complete policy generation complexity [1], Distributed Partially Observable Markov Decision Problems (DEC-POMDPs) have become a popular paradigm for multiagent teamwork [2, 6, 8]. DEC-POMDPs are able to quantitatively express observational and action uncertainty, and yet optimally plan communications and domain actions.