1912 search results - page 209 / 383 » Optimizing interconnection policies |
126
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AAAI
2008
15 years 6 months ago
2008
This paper highlights the crucial role that modern machine learning techniques can play in the optimization of treatment strategies for patients with chronic disorders. In particu...
141
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AAAI
2010
15 years 5 months ago
2010
Partially-observable Markov decision processes (POMDPs) provide a powerful model for sequential decision-making problems with partially-observed state and are known to have (appro...
149
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CORR
2011
Springer
14 years 8 months ago
2011
Springer
In this work, we consider a retailer selling a single product with limited on-hand inventory over a finite selling season. Customer demand arrives according to a Poisson process,...
130
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ATAL
2006
Springer
15 years 7 months ago
2006
Springer
Distributed Partially Observable Markov Decision Problems (Distributed POMDPs) are evolving as a popular approach for modeling multiagent systems, and many different algorithms ha...
127
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ICML
2003
IEEE
16 years 5 months ago
2003
IEEE
We consider incorporating action elimination procedures in reinforcement learning algorithms. We suggest a framework that is based on learning an upper and a lower estimates of th...