813 search results - page 49 / 163 » Ensemble Algorithms in Reinforcement Learning |
114
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CVPR
2007
IEEE
16 years 6 months ago
2007
IEEE
Component-based detection methods have demonstrated their promise by integrating a set of part-detectors to deal with large appearance variations of the target. However, an essent...
131
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JMLR
2006
15 years 4 months ago
2006
An ensemble is a group of learning models that jointly solve a problem. However, the ensembles generated by existing techniques are sometimes unnecessarily large, which can lead t...
135
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PKDD
2009
Springer
15 years 10 months ago
2009
Springer
Abstract. The Factored Markov Decision Process (FMDP) framework is a standard representation for sequential decision problems under uncertainty where the state is represented as a ...
137
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CIIA
2009
15 years 5 months ago
2009
Petroleum industry production systems are highly automatized. In this industry, all functions (e.g., planning, scheduling and maintenance) are automated and in order to remain comp...
145
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NIPS
2003
15 years 5 months ago
2003
We exploit some useful properties of Gaussian process (GP) regression models for reinforcement learning in continuous state spaces and discrete time. We demonstrate how the GP mod...