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» A time aggregation approach to Markov decision processes
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MP
2006
75views more  MP 2006»
15 years 6 months ago
A Class of stochastic programs with decision dependent uncertainty
We address a class of problems where decisions have to be optimized over a time horizon given that the future is uncertain and that the optimization decisions influence the time o...
Vikas Goel, Ignacio E. Grossmann
ATAL
2010
Springer
15 years 7 months ago
Risk-sensitive planning in partially observable environments
Partially Observable Markov Decision Process (POMDP) is a popular framework for planning under uncertainty in partially observable domains. Yet, the POMDP model is riskneutral in ...
Janusz Marecki, Pradeep Varakantham
PODS
2008
ACM
109views Database» more  PODS 2008»
16 years 6 months ago
Time-decaying aggregates in out-of-order streams
Processing large data streams is now a major topic in data management. The data involved can be truly massive, and the required analyses complex. In a stream of sequential events ...
Graham Cormode, Flip Korn, Srikanta Tirthapura
EOR
2006
106views more  EOR 2006»
15 years 6 months ago
Optimal dynamic assignment of a flexible worker on an open production line with specialists
This paper models and analyzes serial production lines with specialists at each station and a single, cross-trained floating worker who can work at any station. We formulate Marko...
Linn I. Sennott, Mark P. Van Oyen, Seyed M. R. Ira...
GLOBECOM
2010
IEEE
15 years 4 months ago
Maximize Secondary User Throughput via Optimal Sensing in Multi-Channel Cognitive Radio Networks
In a cognitive radio network, the full-spectrum is usually divided into multiple channels. However, due to the hardware and energy constraints, a cognitive user (also called second...
Shimin Gong, Ping Wang, Wei Liu, Wei Yuan