2103 search results - page 30 / 421 » Approximate Learning of Dynamic Models |
102
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DATE
2003
IEEE
15 years 7 months ago
2003
IEEE
A new model-order reduction technique for linear dynamic systems is presented. The idea behind this technique is to transform the dynamic system function from the s-domain into th...
118
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PKDD
2009
Springer
15 years 8 months ago
2009
Springer
Abstract. Feature selection in reinforcement learning (RL), i.e. choosing basis functions such that useful approximations of the unkown value function can be obtained, is one of th...
106
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ICPR
2000
IEEE
16 years 3 months ago
2000
IEEE
In this paper we focus on an interpretation of Gaussian radial basis functions (GRBF) which motivates extensions and learning strategies. Specifically, we show that GRBF regressio...
131
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ICML
2005
IEEE
16 years 2 months ago
2005
IEEE
We introduce a Bayesian model, BayesANIL, that is capable of estimating uncertainties associated with the labeling process. Given a labeled or partially labeled training corpus of...
100
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PKDD
2009
Springer
15 years 8 months ago
2009
Springer
Abstract. Innovations such as optimistic exploration, function approximation, and hierarchical decomposition have helped scale reinforcement learning to more complex environments, ...