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» Terminating Decision Algorithms Optimally
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125
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ATAL
2006
Springer
15 years 7 months ago
Winning back the CUP for distributed POMDPs: planning over continuous belief spaces
Distributed Partially Observable Markov Decision Problems (Distributed POMDPs) are evolving as a popular approach for modeling multiagent systems, and many different algorithms ha...
Pradeep Varakantham, Ranjit Nair, Milind Tambe, Ma...
ICDE
2010
IEEE
177views Database» more  ICDE 2010»
15 years 10 months ago
Optimal load shedding with aggregates and mining queries
— To cope with bursty arrivals of high-volume data, a DSMS has to shed load while minimizing the degradation of Quality of Service (QoS). In this paper, we show that this problem...
Barzan Mozafari, Carlo Zaniolo
118
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CN
2004
150views more  CN 2004»
15 years 3 months ago
Optimizing interconnection policies
There are two basic types of interconnection agreements between providers in the Internet: peering and transit. A decision every Internet network service provider (INSP) has to ma...
Oliver Heckmann, Jens Schmitt, Ralf Steinmetz
170
Voted
ICASSP
2011
IEEE
14 years 7 months ago
A combinatorial optimization framework for subset selection in distributed multiple-radar architectures
Abstract—Widely distributed multiple radar architectures offer parameter estimation improvement for target localization. For a large number of radars, the achievable localization...
Hana Godrich, Athina P. Petropulu, H. Vincent Poor
AAAI
2007
15 years 5 months ago
Scaling Up: Solving POMDPs through Value Based Clustering
Partially Observable Markov Decision Processes (POMDPs) provide an appropriately rich model for agents operating under partial knowledge of the environment. Since finding an opti...
Yan Virin, Guy Shani, Solomon Eyal Shimony, Ronen ...