2103 search results - page 143 / 421 » Approximate Learning of Dynamic Models |
158
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ICRA
2009
IEEE
15 years 2 months ago
2009
IEEE
Contextual reasoning through graphical models such as Markov Random Fields often show superior performance against local classifiers in many domains. Unfortunately, this performanc...
156
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CVPR
2007
IEEE
16 years 7 months ago
2007
IEEE
Markov Random Field, or MRF, models are a powerful tool for modeling images. While much progress has been made in algorithms for inference in MRFs, learning the parameters of an M...
131
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JMLR
2010
14 years 11 months ago
2010
We consider reinforcement learning as solving a Markov decision process with unknown transition distribution. Based on interaction with the environment, an estimate of the transit...
140
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GECCO
2009
Springer
15 years 11 months ago
2009
Springer
Many successful applications have proven the potential of Learning Classifier Systems and the XCS classifier system in particular in datamining, reinforcement learning, and func...
141
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ATAL
2008
Springer
15 years 7 months ago
2008
Springer
In reinforcement learning, least-squares temporal difference methods (e.g., LSTD and LSPI) are effective, data-efficient techniques for policy evaluation and control with linear v...