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Solving large TÆMS problems efficiently by selective exploration and decomposition
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Authors:
Jianhui Wu
University of Michigan, Ann Arbor, MI
Edmund H. Durfee
University of Michigan, Ann Arbor, MI
Published in:
· Proceeding
AAMAS '07
Proceedings of the 6th international joint conference on Autonomous agents and multiagent systems
ACM
New York, NY
, USA
©2007
table of contents
ISBN: 978-81-904262-7-5
doi>
10.1145/1329125.1329191
2007 Article
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· Downloads (12 Months): 10
· Citation Count: 4
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Tags:
algorithms
decomposition
general
informed unrolling
mdp
mission phasing
problem solving, control methods, and search
selective exploration
tæms model
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